Trends in Notifiable Infectious Diseases in China: Implications for Surveillance and Population Health Policy
Identifieur interne : 001375 ( Pmc/Corpus ); précédent : 001374; suivant : 001376Trends in Notifiable Infectious Diseases in China: Implications for Surveillance and Population Health Policy
Auteurs : Lei Zhang ; David P. WilsonSource :
- PLoS ONE [ 1932-6203 ] ; 2012.
Abstract
This study aimed to analyse trends in notifiable infectious diseases in China, in their historical context. Both English and Chinese literature was searched and diseases were categorised according to the type of disease or transmission route. Temporal trends of morbidity and mortality rates were calculated for eight major infectious diseases types. Strong government commitment to public health responses and improvements in quality of life has led to the eradication or containment of a wide range of infectious diseases in China. The overall infectious diseases burden experienced a dramatic drop during 1975–1995, but since then, it reverted and maintained a gradual upward trend to date. Most notifiable diseases are contained at a low endemic level; however, local small-scale outbreaks remain common. Tuberculosis, as a bacterial infection, has re-emerged since the 1990s and has become prevalent in the country. Sexually transmitted infections are in a rapid, exponential growth phase, spreading from core groups to the general population. Together human immunodeficiency virus (HIV), they account for 39% of all death cases due to infectious diseases in China in 2008. Zoonotic infections, such as severe acute respiratory syndrome (SARS), rabies and influenza, pose constant threats to Chinese residents and remain the most deadly disease type among the infected individuals. Therefore, second-generation surveillance of behavioural risks or vectors associated with pathogen transmission should be scaled up. It is necessary to implement public health interventions that target HIV and relevant coinfections, address transmission associated with highly mobile populations, and reduce the risk of cross-species transmission of zoonotic pathogens.
Url:
DOI: 10.1371/journal.pone.0031076
PubMed: 22359565
PubMed Central: 3281048
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PMC:3281048Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>This study aimed to analyse trends in notifiable infectious diseases in China, in their historical context. Both English and Chinese literature was searched and diseases were categorised according to the type of disease or transmission route. Temporal trends of morbidity and mortality rates were calculated for eight major infectious diseases types. Strong government commitment to public health responses and improvements in quality of life has led to the eradication or containment of a wide range of infectious diseases in China. The overall infectious diseases burden experienced a dramatic drop during 1975–1995, but since then, it reverted and maintained a gradual upward trend to date. Most notifiable diseases are contained at a low endemic level; however, local small-scale outbreaks remain common. Tuberculosis, as a bacterial infection, has re-emerged since the 1990s and has become prevalent in the country. Sexually transmitted infections are in a rapid, exponential growth phase, spreading from core groups to the general population. Together human immunodeficiency virus (HIV), they account for 39% of all death cases due to infectious diseases in China in 2008. Zoonotic infections, such as severe acute respiratory syndrome (SARS), rabies and influenza, pose constant threats to Chinese residents and remain the most deadly disease type among the infected individuals. Therefore, second-generation surveillance of behavioural risks or vectors associated with pathogen transmission should be scaled up. It is necessary to implement public health interventions that target HIV and relevant coinfections, address transmission associated with highly mobile populations, and reduce the risk of cross-species transmission of zoonotic pathogens.</p>
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<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Ci, W" uniqKey="Ci W">W Ci</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, S" uniqKey="Zhang S">S Zhang</name>
</author>
<author><name sortKey="Liu, Z" uniqKey="Liu Z">Z Liu</name>
</author>
<author><name sortKey="Gu, Z" uniqKey="Gu Z">Z Gu</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, S" uniqKey="Zhang S">S Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Liu, D" uniqKey="Liu D">D Liu</name>
</author>
<author><name sortKey="Wang, X" uniqKey="Wang X">X Wang</name>
</author>
<author><name sortKey="Pan, F" uniqKey="Pan F">F Pan</name>
</author>
<author><name sortKey="Xu, Y" uniqKey="Xu Y">Y Xu</name>
</author>
<author><name sortKey="Yang, P" uniqKey="Yang P">P Yang</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Li, B" uniqKey="Li B">B Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="China, Cdc" uniqKey="China C">CDC China</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, C H" uniqKey="Zhang C">C-h Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Cong, X" uniqKey="Cong X">X Cong</name>
</author>
<author><name sortKey="Xu, C" uniqKey="Xu C">C Xu</name>
</author>
<author><name sortKey="Zhang, G" uniqKey="Zhang G">G Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Guan, P" uniqKey="Guan P">P Guan</name>
</author>
<author><name sortKey="Huang, D" uniqKey="Huang D">D Huang</name>
</author>
<author><name sortKey="He, M" uniqKey="He M">M He</name>
</author>
<author><name sortKey="Shen, T" uniqKey="Shen T">T Shen</name>
</author>
<author><name sortKey="Guo, J" uniqKey="Guo J">J Guo</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Fang, Lq" uniqKey="Fang L">LQ Fang</name>
</author>
<author><name sortKey="Zhao, Wj" uniqKey="Zhao W">WJ Zhao</name>
</author>
<author><name sortKey="De Vlas, Sj" uniqKey="De Vlas S">SJ de Vlas</name>
</author>
<author><name sortKey="Zhang, Wy" uniqKey="Zhang W">WY Zhang</name>
</author>
<author><name sortKey="Liang, S" uniqKey="Liang S">S Liang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Fang, L" uniqKey="Fang L">L Fang</name>
</author>
<author><name sortKey="Yan, L" uniqKey="Yan L">L Yan</name>
</author>
<author><name sortKey="Liang, S" uniqKey="Liang S">S Liang</name>
</author>
<author><name sortKey="De Vlas, Sj" uniqKey="De Vlas S">SJ de Vlas</name>
</author>
<author><name sortKey="Feng, D" uniqKey="Feng D">D Feng</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Ze, W" uniqKey="Ze W">W Ze</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
<author><name sortKey="Zhu, Z" uniqKey="Zhu Z">Z Zhu</name>
</author>
<author><name sortKey="Rota, Pa" uniqKey="Rota P">PA Rota</name>
</author>
<author><name sortKey="Jiang, X" uniqKey="Jiang X">X Jiang</name>
</author>
<author><name sortKey="Hu, J" uniqKey="Hu J">J Hu</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
<author><name sortKey="Ji, Y" uniqKey="Ji Y">Y Ji</name>
</author>
<author><name sortKey="Jiang, X" uniqKey="Jiang X">X Jiang</name>
</author>
<author><name sortKey="Xu, S" uniqKey="Xu S">S Xu</name>
</author>
<author><name sortKey="Zhu, Z" uniqKey="Zhu Z">Z Zhu</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lixia, W" uniqKey="Lixia W">W Lixia</name>
</author>
<author><name sortKey="Guang, Z" uniqKey="Guang Z">Z Guang</name>
</author>
<author><name sortKey="Lee, La" uniqKey="Lee L">LA Lee</name>
</author>
<author><name sortKey="Zhiwei, Y" uniqKey="Zhiwei Y">Y Zhiwei</name>
</author>
<author><name sortKey="Jingjin, Y" uniqKey="Jingjin Y">Y Jingjin</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Wang, K" uniqKey="Wang K">K Wang</name>
</author>
<author><name sortKey="Zhang, Lb" uniqKey="Zhang L">LB Zhang</name>
</author>
<author><name sortKey="Otten, Mw" uniqKey="Otten M">MW Otten</name>
</author>
<author><name sortKey="Zhang, Xl" uniqKey="Zhang X">XL Zhang</name>
</author>
<author><name sortKey="Yasuo, C" uniqKey="Yasuo C">C Yasuo</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Yang, B" uniqKey="Yang B">B Yang</name>
</author>
<author><name sortKey="Zhang, J" uniqKey="Zhang J">J Zhang</name>
</author>
<author><name sortKey="Otten, Mw" uniqKey="Otten M">MW Otten</name>
</author>
<author><name sortKey="Kusumoto, K" uniqKey="Kusumoto K">K Kusumoto</name>
</author>
<author><name sortKey="Jiang, T" uniqKey="Jiang T">T Jiang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Chiba, Y" uniqKey="Chiba Y">Y Chiba</name>
</author>
<author><name sortKey="Hikita, K" uniqKey="Hikita K">K Hikita</name>
</author>
<author><name sortKey="Matuba, T" uniqKey="Matuba T">T Matuba</name>
</author>
<author><name sortKey="Chosa, T" uniqKey="Chosa T">T Chosa</name>
</author>
<author><name sortKey="Kyogoku, S" uniqKey="Kyogoku S">S Kyogoku</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhao, Zy" uniqKey="Zhao Z">ZY Zhao</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Yu, Wl" uniqKey="Yu W">WL Yu</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Tu, G" uniqKey="Tu G">G Tu</name>
</author>
<author><name sortKey="Chui, C" uniqKey="Chui C">C Chui</name>
</author>
<author><name sortKey="Wang, J" uniqKey="Wang J">J Wang</name>
</author>
<author><name sortKey="Fu, B" uniqKey="Fu B">B Fu</name>
</author>
<author><name sortKey="Zhang, Wp" uniqKey="Zhang W">WP Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Yang, Hh" uniqKey="Yang H">HH Yang</name>
</author>
<author><name sortKey="Wu, Cg" uniqKey="Wu C">CG Wu</name>
</author>
<author><name sortKey="Xie, Gz" uniqKey="Xie G">GZ Xie</name>
</author>
<author><name sortKey="Gu, Qw" uniqKey="Gu Q">QW Gu</name>
</author>
<author><name sortKey="Wang, Br" uniqKey="Wang B">BR Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Yang, Hh" uniqKey="Yang H">HH Yang</name>
</author>
<author><name sortKey="Kilgore, Pe" uniqKey="Kilgore P">PE Kilgore</name>
</author>
<author><name sortKey="Yang, Lh" uniqKey="Yang L">LH Yang</name>
</author>
<author><name sortKey="Park, Jk" uniqKey="Park J">JK Park</name>
</author>
<author><name sortKey="Pan, Yf" uniqKey="Pan Y">YF Pan</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Qian, H" uniqKey="Qian H">H Qian</name>
</author>
<author><name sortKey="Tand, L" uniqKey="Tand L">L Tand</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Bi, P" uniqKey="Bi P">P Bi</name>
</author>
<author><name sortKey="Parton, Ka" uniqKey="Parton K">KA Parton</name>
</author>
<author><name sortKey="Tong, S" uniqKey="Tong S">S Tong</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, Yz" uniqKey="Zhang Y">YZ Zhang</name>
</author>
<author><name sortKey="Xiong, Cl" uniqKey="Xiong C">CL Xiong</name>
</author>
<author><name sortKey="Xiao, Dl" uniqKey="Xiao D">DL Xiao</name>
</author>
<author><name sortKey="Jiang, Rj" uniqKey="Jiang R">RJ Jiang</name>
</author>
<author><name sortKey="Wang, Zx" uniqKey="Wang Z">ZX Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, Yz" uniqKey="Zhang Y">YZ Zhang</name>
</author>
<author><name sortKey="Xiong, Cl" uniqKey="Xiong C">CL Xiong</name>
</author>
<author><name sortKey="Zou, Y" uniqKey="Zou Y">Y Zou</name>
</author>
<author><name sortKey="Wang, Dm" uniqKey="Wang D">DM Wang</name>
</author>
<author><name sortKey="Jiang, Rj" uniqKey="Jiang R">RJ Jiang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Meng, Sl" uniqKey="Meng S">SL Meng</name>
</author>
<author><name sortKey="Yan, Jx" uniqKey="Yan J">JX Yan</name>
</author>
<author><name sortKey="Xu, Gl" uniqKey="Xu G">GL Xu</name>
</author>
<author><name sortKey="Nadin Davis, Sa" uniqKey="Nadin Davis S">SA Nadin-Davis</name>
</author>
<author><name sortKey="Ming, Pg" uniqKey="Ming P">PG Ming</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Si, H" uniqKey="Si H">H Si</name>
</author>
<author><name sortKey="Guo, Zm" uniqKey="Guo Z">ZM Guo</name>
</author>
<author><name sortKey="Hao, Yt" uniqKey="Hao Y">YT Hao</name>
</author>
<author><name sortKey="Liu, Yg" uniqKey="Liu Y">YG Liu</name>
</author>
<author><name sortKey="Zhang, Dm" uniqKey="Zhang D">DM Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Hu, R" uniqKey="Hu R">R Hu</name>
</author>
<author><name sortKey="Tang, Q" uniqKey="Tang Q">Q Tang</name>
</author>
<author><name sortKey="Tang, J" uniqKey="Tang J">J Tang</name>
</author>
<author><name sortKey="Fooks, Ar" uniqKey="Fooks A">AR Fooks</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lam, Wk" uniqKey="Lam W">WK Lam</name>
</author>
<author><name sortKey="Zhong, Ns" uniqKey="Zhong N">NS Zhong</name>
</author>
<author><name sortKey="Tan, Wc" uniqKey="Tan W">WC Tan</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Tarantola, A" uniqKey="Tarantola A">A Tarantola</name>
</author>
<author><name sortKey="Barboza, P" uniqKey="Barboza P">P Barboza</name>
</author>
<author><name sortKey="Gauthier, V" uniqKey="Gauthier V">V Gauthier</name>
</author>
<author><name sortKey="Ioos, S" uniqKey="Ioos S">S Ioos</name>
</author>
<author><name sortKey="El Omeiri, N" uniqKey="El Omeiri N">N El Omeiri</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Deqiu, S" uniqKey="Deqiu S">S Deqiu</name>
</author>
<author><name sortKey="Donglou, X" uniqKey="Donglou X">X Donglou</name>
</author>
<author><name sortKey="Jiming, Y" uniqKey="Jiming Y">Y Jiming</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Jiang, X" uniqKey="Jiang X">X Jiang</name>
</author>
<author><name sortKey="Lu, H" uniqKey="Lu H">H Lu</name>
</author>
<author><name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
<author><name sortKey="Zhou, Z" uniqKey="Zhou Z">Z Zhou</name>
</author>
<author><name sortKey="Ye, H" uniqKey="Ye H">H Ye</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Dong, F" uniqKey="Dong F">F Dong</name>
</author>
<author><name sortKey="Geng, W" uniqKey="Geng W">W Geng</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Squire, Sb" uniqKey="Squire S">SB Squire</name>
</author>
<author><name sortKey="Tang, S" uniqKey="Tang S">S Tang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Chen, X" uniqKey="Chen X">X Chen</name>
</author>
<author><name sortKey="Zhao, F" uniqKey="Zhao F">F Zhao</name>
</author>
<author><name sortKey="Duanmu, H" uniqKey="Duanmu H">H Duanmu</name>
</author>
<author><name sortKey="Wan, L" uniqKey="Wan L">L Wan</name>
</author>
<author><name sortKey="Wang, L" uniqKey="Wang L">L Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zignol, M" uniqKey="Zignol M">M Zignol</name>
</author>
<author><name sortKey="Hosseini, Ms" uniqKey="Hosseini M">MS Hosseini</name>
</author>
<author><name sortKey="Wright, A" uniqKey="Wright A">A Wright</name>
</author>
<author><name sortKey="Weezenbeek, Cl" uniqKey="Weezenbeek C">CL Weezenbeek</name>
</author>
<author><name sortKey="Nunn, P" uniqKey="Nunn P">P Nunn</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Aziz, Ma" uniqKey="Aziz M">MA Aziz</name>
</author>
<author><name sortKey="Wright, A" uniqKey="Wright A">A Wright</name>
</author>
<author><name sortKey="Laszlo, A" uniqKey="Laszlo A">A Laszlo</name>
</author>
<author><name sortKey="De Muynck, A" uniqKey="De Muynck A">A De Muynck</name>
</author>
<author><name sortKey="Portaels, F" uniqKey="Portaels F">F Portaels</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wang, D" uniqKey="Wang D">D Wang</name>
</author>
<author><name sortKey="Yang, C" uniqKey="Yang C">C Yang</name>
</author>
<author><name sortKey="Kuang, T" uniqKey="Kuang T">T Kuang</name>
</author>
<author><name sortKey="Lei, H" uniqKey="Lei H">H Lei</name>
</author>
<author><name sortKey="Meng, X" uniqKey="Meng X">X Meng</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhou, Xn" uniqKey="Zhou X">XN Zhou</name>
</author>
<author><name sortKey="Yang, Gj" uniqKey="Yang G">GJ Yang</name>
</author>
<author><name sortKey="Yang, K" uniqKey="Yang K">K Yang</name>
</author>
<author><name sortKey="Wang, Xh" uniqKey="Wang X">XH Wang</name>
</author>
<author><name sortKey="Hong, Qb" uniqKey="Hong Q">QB Hong</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Yang, Gj" uniqKey="Yang G">GJ Yang</name>
</author>
<author><name sortKey="Vounatsou, P" uniqKey="Vounatsou P">P Vounatsou</name>
</author>
<author><name sortKey="Zhou, Xn" uniqKey="Zhou X">XN Zhou</name>
</author>
<author><name sortKey="Tanner, M" uniqKey="Tanner M">M Tanner</name>
</author>
<author><name sortKey="Utzinger, J" uniqKey="Utzinger J">J Utzinger</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Chen, X S" uniqKey="Chen X">X-S Chen</name>
</author>
<author><name sortKey="Gong, X D" uniqKey="Gong X">X-D GONG</name>
</author>
<author><name sortKey="Liang, G J" uniqKey="Liang G">G-J LIANG</name>
</author>
<author><name sortKey="Zhang, G C" uniqKey="Zhang G">G-C ZHANG</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wang, S" uniqKey="Wang S">S Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Cohen, Ms" uniqKey="Cohen M">MS Cohen</name>
</author>
<author><name sortKey="Ping, G" uniqKey="Ping G">G Ping</name>
</author>
<author><name sortKey="Fox, K" uniqKey="Fox K">K FOX</name>
</author>
<author><name sortKey="Henderson, Ge" uniqKey="Henderson G">GE HENDERSON</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zeng, G" uniqKey="Zeng G">G Zeng</name>
</author>
<author><name sortKey="Zhang, J" uniqKey="Zhang J">J Zhang</name>
</author>
<author><name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Ruan, Y" uniqKey="Ruan Y">Y Ruan</name>
</author>
<author><name sortKey="Cao, X" uniqKey="Cao X">X Cao</name>
</author>
<author><name sortKey="Qian, Hz" uniqKey="Qian H">HZ Qian</name>
</author>
<author><name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
<author><name sortKey="Qin, G" uniqKey="Qin G">G Qin</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Beyrer, C" uniqKey="Beyrer C">C Beyrer</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Pirkle, C" uniqKey="Pirkle C">C Pirkle</name>
</author>
<author><name sortKey="Soundardjee, R" uniqKey="Soundardjee R">R Soundardjee</name>
</author>
<author><name sortKey="Stella, A" uniqKey="Stella A">A Stella</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Tucker, Jd" uniqKey="Tucker J">JD Tucker</name>
</author>
<author><name sortKey="Henderson, Ge" uniqKey="Henderson G">GE Henderson</name>
</author>
<author><name sortKey="Wang, Tf" uniqKey="Wang T">TF Wang</name>
</author>
<author><name sortKey="Huang, Yy" uniqKey="Huang Y">YY Huang</name>
</author>
<author><name sortKey="Parish, W" uniqKey="Parish W">W Parish</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Liu, H" uniqKey="Liu H">H Liu</name>
</author>
<author><name sortKey="Hu, Z" uniqKey="Hu Z">Z Hu</name>
</author>
<author><name sortKey="Li, X" uniqKey="Li X">X Li</name>
</author>
<author><name sortKey="Stanton, B" uniqKey="Stanton B">B Stanton</name>
</author>
<author><name sortKey="Naar King, S" uniqKey="Naar King S">S Naar-King</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, J" uniqKey="Zhang J">J Zhang</name>
</author>
<author><name sortKey="Yan, H" uniqKey="Yan H">H Yan</name>
</author>
<author><name sortKey="Li, X" uniqKey="Li X">X Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Choi, Kh" uniqKey="Choi K">KH Choi</name>
</author>
<author><name sortKey="Ning, Z" uniqKey="Ning Z">Z Ning</name>
</author>
<author><name sortKey="Gregorich, Se" uniqKey="Gregorich S">SE Gregorich</name>
</author>
<author><name sortKey="Pan, Qc" uniqKey="Pan Q">QC Pan</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Ruan, Yh" uniqKey="Ruan Y">YH Ruan</name>
</author>
<author><name sortKey="Li, Dl" uniqKey="Li D">DL Li</name>
</author>
<author><name sortKey="Li, Xx" uniqKey="Li X">XX Li</name>
</author>
<author><name sortKey="Qian, Hz" uniqKey="Qian H">HZ Qian</name>
</author>
<author><name sortKey="Shi, W" uniqKey="Shi W">W Shi</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Aldinger, C" uniqKey="Aldinger C">C Aldinger</name>
</author>
<author><name sortKey="Zhang, Xw" uniqKey="Zhang X">XW Zhang</name>
</author>
<author><name sortKey="Liu, Lq" uniqKey="Liu L">LQ Liu</name>
</author>
<author><name sortKey="Guo, Jx" uniqKey="Guo J">JX Guo</name>
</author>
<author><name sortKey="Yu Sen, H" uniqKey="Yu Sen H">H Yu Sen</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Fang, Y" uniqKey="Fang Y">Y Fang</name>
</author>
<author><name sortKey="Wang, L" uniqKey="Wang L">L Wang</name>
</author>
<author><name sortKey="Xin, Z" uniqKey="Xin Z">Z Xin</name>
</author>
<author><name sortKey="Zhao, L" uniqKey="Zhao L">L Zhao</name>
</author>
<author><name sortKey="An, X" uniqKey="An X">X An</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhang, Jp" uniqKey="Zhang J">JP Zhang</name>
</author>
<author><name sortKey="Chen, Hh" uniqKey="Chen H">HH Chen</name>
</author>
<author><name sortKey="Jia, Mh" uniqKey="Jia M">MH Jia</name>
</author>
<author><name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Cunningham, Al" uniqKey="Cunningham A">AL Cunningham</name>
</author>
<author><name sortKey="Taylor, R" uniqKey="Taylor R">R Taylor</name>
</author>
<author><name sortKey="Taylor, J" uniqKey="Taylor J">J Taylor</name>
</author>
<author><name sortKey="Marks, C" uniqKey="Marks C">C Marks</name>
</author>
<author><name sortKey="Shaw, J" uniqKey="Shaw J">J Shaw</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="He, Q" uniqKey="He Q">Q He</name>
</author>
<author><name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
<author><name sortKey="Lin, P" uniqKey="Lin P">P Lin</name>
</author>
<author><name sortKey="Raymond, Hf" uniqKey="Raymond H">HF Raymond</name>
</author>
<author><name sortKey="Li, Y" uniqKey="Li Y">Y Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Kretzschmar, M" uniqKey="Kretzschmar M">M Kretzschmar</name>
</author>
<author><name sortKey="Zhang, W" uniqKey="Zhang W">W Zhang</name>
</author>
<author><name sortKey="Mikolajczyk, Rt" uniqKey="Mikolajczyk R">RT Mikolajczyk</name>
</author>
<author><name sortKey="Wang, L" uniqKey="Wang L">L Wang</name>
</author>
<author><name sortKey="Sun, X" uniqKey="Sun X">X Sun</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Miao, Z" uniqKey="Miao Z">Z Miao</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Xu, Zy" uniqKey="Xu Z">ZY Xu</name>
</author>
<author><name sortKey="Wang, Xy" uniqKey="Wang X">XY Wang</name>
</author>
<author><name sortKey="Liu, Cq" uniqKey="Liu C">CQ Liu</name>
</author>
<author><name sortKey="Li, Yt" uniqKey="Li Y">YT Li</name>
</author>
<author><name sortKey="Zhuang, Fc" uniqKey="Zhuang F">FC Zhuang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lu, J" uniqKey="Lu J">J Lu</name>
</author>
<author><name sortKey="Zhou, Y" uniqKey="Zhou Y">Y Zhou</name>
</author>
<author><name sortKey="Lin, X" uniqKey="Lin X">X Lin</name>
</author>
<author><name sortKey="Jiang, Y" uniqKey="Jiang Y">Y Jiang</name>
</author>
<author><name sortKey="Tian, R" uniqKey="Tian R">R Tian</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Liang, X" uniqKey="Liang X">X Liang</name>
</author>
<author><name sortKey="Bi, S" uniqKey="Bi S">S Bi</name>
</author>
<author><name sortKey="Yang, W" uniqKey="Yang W">W Yang</name>
</author>
<author><name sortKey="Wang, L" uniqKey="Wang L">L Wang</name>
</author>
<author><name sortKey="Cui, G" uniqKey="Cui G">G Cui</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Purcell, Rh" uniqKey="Purcell R">RH Purcell</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Tedaldi, E" uniqKey="Tedaldi E">E Tedaldi</name>
</author>
<author><name sortKey="Peters, L" uniqKey="Peters L">L Peters</name>
</author>
<author><name sortKey="Neuhaus, J" uniqKey="Neuhaus J">J Neuhaus</name>
</author>
<author><name sortKey="Puoti, M" uniqKey="Puoti M">M Puoti</name>
</author>
<author><name sortKey="Rockstroh, J" uniqKey="Rockstroh J">J Rockstroh</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Soriano, V" uniqKey="Soriano V">V Soriano</name>
</author>
<author><name sortKey="Barreiro, P" uniqKey="Barreiro P">P Barreiro</name>
</author>
<author><name sortKey="Nunez, M" uniqKey="Nunez M">M Nunez</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Ruan, Y" uniqKey="Ruan Y">Y Ruan</name>
</author>
<author><name sortKey="Qin, G" uniqKey="Qin G">G Qin</name>
</author>
<author><name sortKey="Yin, L" uniqKey="Yin L">L Yin</name>
</author>
<author><name sortKey="Chen, K" uniqKey="Chen K">K Chen</name>
</author>
<author><name sortKey="Qian, Hz" uniqKey="Qian H">HZ Qian</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Bao, Yp" uniqKey="Bao Y">YP Bao</name>
</author>
<author><name sortKey="Liu, Zm" uniqKey="Liu Z">ZM Liu</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Bao, Yp" uniqKey="Bao Y">YP Bao</name>
</author>
<author><name sortKey="Liu, Zm" uniqKey="Liu Z">ZM Liu</name>
</author>
<author><name sortKey="Lu, L" uniqKey="Lu L">L Lu</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wu, N" uniqKey="Wu N">N Wu</name>
</author>
<author><name sortKey="Li, D" uniqKey="Li D">D Li</name>
</author>
<author><name sortKey="Zhu, B" uniqKey="Zhu B">B Zhu</name>
</author>
<author><name sortKey="Zou, W" uniqKey="Zou W">W Zou</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Qian, Hz" uniqKey="Qian H">HZ Qian</name>
</author>
<author><name sortKey="Vermund, Sh" uniqKey="Vermund S">SH Vermund</name>
</author>
<author><name sortKey="Kaslow, Ra" uniqKey="Kaslow R">RA Kaslow</name>
</author>
<author><name sortKey="Coffey, Cs" uniqKey="Coffey C">CS Coffey</name>
</author>
<author><name sortKey="Chamot, E" uniqKey="Chamot E">E Chamot</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Xu, Jq" uniqKey="Xu J">JQ Xu</name>
</author>
<author><name sortKey="Wang, Jj" uniqKey="Wang J">JJ Wang</name>
</author>
<author><name sortKey="Han, Lf" uniqKey="Han L">LF Han</name>
</author>
<author><name sortKey="Xu, C" uniqKey="Xu C">C Xu</name>
</author>
<author><name sortKey="Ruan, Yh" uniqKey="Ruan Y">YH Ruan</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wang, L" uniqKey="Wang L">L Wang</name>
</author>
<author><name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
<author><name sortKey="Jin, S" uniqKey="Jin S">S Jin</name>
</author>
<author><name sortKey="Wu, Z" uniqKey="Wu Z">Z Wu</name>
</author>
<author><name sortKey="Chin, Dp" uniqKey="Chin D">DP Chin</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Dong, Zj" uniqKey="Dong Z">ZJ Dong</name>
</author>
<author><name sortKey="Hao, Z" uniqKey="Hao Z">Z Hao</name>
</author>
<author><name sortKey="Zhang, J" uniqKey="Zhang J">J Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Biao, X" uniqKey="Biao X">X Biao</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Tang, X" uniqKey="Tang X">X Tang</name>
</author>
<author><name sortKey="Luo, M" uniqKey="Luo M">M Luo</name>
</author>
<author><name sortKey="Zhang, S" uniqKey="Zhang S">S Zhang</name>
</author>
<author><name sortKey="Fooks, Ar" uniqKey="Fooks A">AR Fooks</name>
</author>
<author><name sortKey="Hu, R" uniqKey="Hu R">R Hu</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Hu, Rl" uniqKey="Hu R">RL Hu</name>
</author>
<author><name sortKey="Fooks, Ar" uniqKey="Fooks A">AR Fooks</name>
</author>
<author><name sortKey="Zhang, Sf" uniqKey="Zhang S">SF Zhang</name>
</author>
<author><name sortKey="Liu, Y" uniqKey="Liu Y">Y Liu</name>
</author>
<author><name sortKey="Zhang, F" uniqKey="Zhang F">F Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Van Den Berg, T" uniqKey="Van Den Berg T">T van den Berg</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Peiris, Js" uniqKey="Peiris J">JS Peiris</name>
</author>
<author><name sortKey="Guan, Y" uniqKey="Guan Y">Y Guan</name>
</author>
<author><name sortKey="Yuen, Ky" uniqKey="Yuen K">KY Yuen</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Liu, Jj" uniqKey="Liu J">JJ Liu</name>
</author>
<author><name sortKey="Yao, Hy" uniqKey="Yao H">HY Yao</name>
</author>
<author><name sortKey="Liu, Ey" uniqKey="Liu E">EY Liu</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group><journal-title>PLoS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher><publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">22359565</article-id>
<article-id pub-id-type="pmc">3281048</article-id>
<article-id pub-id-type="publisher-id">PONE-D-11-13847</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0031076</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v2"><subject>Biology</subject>
<subj-group><subject>Population Biology</subject>
<subj-group><subject>Epidemiology</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v2"><subject>Medicine</subject>
<subj-group><subject>Epidemiology</subject>
</subj-group>
<subj-group><subject>Infectious Diseases</subject>
<subj-group><subject>Bacterial Diseases</subject>
</subj-group>
<subj-group><subject>Tropical Diseases (Non-Neglected)</subject>
</subj-group>
<subj-group><subject>Viral Diseases</subject>
<subj-group><subject>HIV</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group><subject>Obstetrics and Gynecology</subject>
<subj-group><subject>Genitourinary Infections</subject>
</subj-group>
</subj-group>
<subj-group><subject>Urology</subject>
<subj-group><subject>Genitourinary Infections</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v2"><subject>Veterinary Science</subject>
<subj-group><subject>Veterinary Diseases</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group><article-title>Trends in Notifiable Infectious Diseases in China: Implications for Surveillance and Population Health Policy</article-title>
<alt-title alt-title-type="running-head">Trends in Infectious Diseases in China</alt-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Zhang</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff1"></xref>
<xref ref-type="corresp" rid="cor1"><sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Wilson</surname>
<given-names>David P.</given-names>
</name>
</contrib>
</contrib-group>
<aff id="aff1"><addr-line>The Kirby Institute for infection and immunity in society, Faculty of Medicine, University of New South Wales, Sydney, Australia</addr-line>
</aff>
<contrib-group><contrib contrib-type="editor"><name><surname>Colizza</surname>
<given-names>Vittoria</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">INSERM & Universite Pierre et Marie Curie, France</aff>
<author-notes><corresp id="cor1">* E-mail: <email>lzhang@kirby.unsw.edu.au</email>
</corresp>
<fn fn-type="con"><p>Conceived and designed the experiments: LZ DW. Analyzed the data: LZ. Wrote the paper: LZ DW.</p>
</fn>
</author-notes>
<pub-date pub-type="collection"><year>2012</year>
</pub-date>
<pub-date pub-type="epub"><day>16</day>
<month>2</month>
<year>2012</year>
</pub-date>
<volume>7</volume>
<issue>2</issue>
<elocation-id>e31076</elocation-id>
<history><date date-type="received"><day>20</day>
<month>7</month>
<year>2011</year>
</date>
<date date-type="accepted"><day>2</day>
<month>1</month>
<year>2012</year>
</date>
</history>
<permissions><copyright-statement>Zhang, Wilson.</copyright-statement>
<copyright-year>2012</copyright-year>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.</license-p>
</license>
</permissions>
<abstract><p>This study aimed to analyse trends in notifiable infectious diseases in China, in their historical context. Both English and Chinese literature was searched and diseases were categorised according to the type of disease or transmission route. Temporal trends of morbidity and mortality rates were calculated for eight major infectious diseases types. Strong government commitment to public health responses and improvements in quality of life has led to the eradication or containment of a wide range of infectious diseases in China. The overall infectious diseases burden experienced a dramatic drop during 1975–1995, but since then, it reverted and maintained a gradual upward trend to date. Most notifiable diseases are contained at a low endemic level; however, local small-scale outbreaks remain common. Tuberculosis, as a bacterial infection, has re-emerged since the 1990s and has become prevalent in the country. Sexually transmitted infections are in a rapid, exponential growth phase, spreading from core groups to the general population. Together human immunodeficiency virus (HIV), they account for 39% of all death cases due to infectious diseases in China in 2008. Zoonotic infections, such as severe acute respiratory syndrome (SARS), rabies and influenza, pose constant threats to Chinese residents and remain the most deadly disease type among the infected individuals. Therefore, second-generation surveillance of behavioural risks or vectors associated with pathogen transmission should be scaled up. It is necessary to implement public health interventions that target HIV and relevant coinfections, address transmission associated with highly mobile populations, and reduce the risk of cross-species transmission of zoonotic pathogens.</p>
</abstract>
<counts><page-count count="12"></page-count>
</counts>
</article-meta>
</front>
<body><sec id="s1"><title>Introduction</title>
<p>China has experienced a large decline in the spread and burden of infectious diseases since the early 1960s, associated with effective and large-scale public health interventions and large population-based vaccination programmes. China successfully eliminated 11 infectious diseases – including smallpox from the general Chinese population in early 1960s <xref rid="pone.0031076-Ci1" ref-type="bibr">[1]</xref>
, 19 years before its global eradication – and another 10 infectious diseases, including poliomyelitis, have more recently been eliminated <xref rid="pone.0031076-Zhang1" ref-type="bibr">[2]</xref>
. A further 13 diseases, including measles, are thought to be contained well at low endemic levels <xref rid="pone.0031076-Zhang2" ref-type="bibr">[3]</xref>
.</p>
<p>Surveillance systems for infectious diseases in China are mainly hospital based. The latest available statistics (from 2006) indicate that China has 18,703 county hospitals, 40,907 township hospitals and 201,562 medical clinics <xref rid="pone.0031076-Liu1" ref-type="bibr">[4]</xref>
, <xref rid="pone.0031076-Ministry1" ref-type="bibr">[5]</xref>
. Hospitals at the prefecture level or above are usually equipped with reference laboratories that are capable of carrying out molecular surveillance for cases. Together with laboratories from academic institutions, they form the front line of surveillance for outbreak detection and notification of infectious diseases in China. All hospitals and clinics are obliged to report both suspected and confirmed cases of notifiable infectious disease to their nominated county Centre for Disease Control (CDC). After recording the details of the reported cases (including their geographical location, demographicl information and infection status), county CDCs send the information to the country's central CDC, through the National Infectious Diseases Monitoring Information System Database, which was established in 2004 <xref rid="pone.0031076-Zhang3" ref-type="bibr">[6]</xref>
. This reporting mechanism bypasses the previous stepwise hierarchical reporting framework, thus allowing information to flow directly from grassroots CDCs to China's central disease database. However, regional, provincial and national CDCs do not have equal access to all of the data in the database: their access rights are limited to their own administrative regions, and only national CDCs has the full access to all data <xref rid="pone.0031076-Li1" ref-type="bibr">[7]</xref>
. In addition to their responsibility for verifying the disease information from their administrative regions, municipal and provincial CDCs are required to report to the appropriate level of the Bureaus of Health or Department of Health and to form networks with local research bodies, universities and other health organisations. At the top of the hierarchy, China's central CDC is the overseeing organisation with responsibility for assembling and analysing diagnostic data for all diseases and then presenting a final report to the Ministry of Health, which is the main public health policymaker in China. The central CDC is also the only legitimate office for disseminating infectious disease information to the public, but provincial and municipal CDCs are also authorised to publicise the information to people in their jurisdiction, under the supervision of the Ministry of Health <xref rid="pone.0031076-China1" ref-type="bibr">[8]</xref>
. In contrast to disease surveillance systems in Europe, the Chinese surveillance system uses a multilayer administrative mechanism that enables rapid and efficient upward flow of epidemic information.</p>
<p>China is a populous country of 1.3 billion people <xref rid="pone.0031076-National1" ref-type="bibr">[9]</xref>
. Over the last 30 years of economic reform in the country, there have been environmental, demographic, social and behavioural changes in the population. As China's ties with the rest of world become increasingly strong, infectious diseases in China no longer remain a domestic issue. A thorough review of infectious disease surveillance in China is timely and important for the country's disease prevention and control strategies. Currently, 39 infectious diseases are classified as notifiable in China. This study reviews trends in notifiable infectious diseases in China, in their historical context, discusses the current epidemiological state of these infections and their implications for disease surveillance and public health interventions. The review is structured by category of disease or transmission route.</p>
</sec>
<sec sec-type="methods" id="s2"><title>Methods</title>
<p>Currently, 39 infectious diseases are notifiable in China, classified as A, B or C according to their epidemic levels and potential population threats. Groups A and B (total 28 diseases) represent categories of diseases with high risk of outbreaks or that are likely to result in rapid spread once an outbreak occurs. Mortality and morbidity related to group A and B diseases are reported and published by the Chinese Ministry of Health on a monthly basis. Group C diseases are less infectious and, when outbreaks occur, are epidemiologically less severe. They are required to be reported only when outbreaks occur.</p>
<p>In this review, we searched published peer-reviewed research articles as well as online reports and grey literature from 1985 to 2010 relevant to disease surveillance in China in the following databases: PubMed, Chinese Scientific Journals Fulltext Database (CQVIP), China National Knowledge Infrastructure (CNKI) and Wanfang Data. Keywords used in the database search included [‘Chinese’ or ‘China’] and [‘Infectious diseases surveillance’ or ‘surveillance system’ or ‘infectious diseases monitoring’ or ‘infectious diseases information’ or the type of infectious disease or the name of individual infectious diseases]. We also searched governmental reports, reports of non-governmental organisations and other grey literature from online sources. We then collated data on notified cases and mortality related to these diseases, using the latest available information from the Ministry of Health <xref rid="pone.0031076-Chinese1" ref-type="bibr">[10]</xref>
. Notifiable infectious disease data, including morbidity and mortality rates, was summarised by Chinese Ministry of Health and published annually in Chinese Health Yearbook and online accessible through CNKI database. Notably, this dataset does not contain data on SARS and influenza A(H5N1) virus infection. Hence we did not include them in our statistical analysis, but describe them in the text.</p>
<p>The selected diseases were categorised into eight major types according to their diseases characteristics and origins. The morbidity and mortality for each disease type were calculated as the sum of the corresponding rates of individual diseases. The total number of diagnosed and death cases were estimated by multiplying morbidity and mortality rates by the overall Chinese population in the study years. Case fatality rate was defined as the percentage of persons diagnosed with the disease who die as a result of the illness during the calendar year, and was estimated by dividing mortality rate by morbidity rate of the diseases. Further, for each individual disease, we calculate the disease-specific mortality rates among the Chinese population in five-year intervals (1999–2003 and 2004–2008). For each disease, the mean annual increase or decrease during 1999–2008, with 95% confidence intervals, is estimated, based on linear regression of logarithmic values of the number of annual death cases.</p>
</sec>
<sec id="s3"><title>Results and Discussion</title>
<sec id="s3a"><title>Trends in infectious diseases in China, 1999–2008</title>
<p>Morbidity of notifiable infectious diseases in China, represented by estimated numbers of new cases, declined substantially (>90%) from 22,000 cases per million in 1975 to a nadir level of 1,800 cases per million in 1995 (<xref ref-type="fig" rid="pone-0031076-g001">Figure 1a</xref>
). Since then, the rate of new infectious disease cases gradually reverted and maintained an upward trend. In 2008, the estimated rate of infectious diseases among the general Chinese population reached over 3000 cases per million population. The composition of diagnosed diseases cases also changed substantially, in 1975, the three most reported diseases were gastrointestinal diseases (41.9%), vector-borne diseases (30.8%) and vaccine-preventable diseases (21.1%), corresponding to a total of 93.8% of all diagnosed cases (<xref ref-type="fig" rid="pone-0031076-g001">Figure 1a</xref>
). Additionally, these three types of diseases account for 35.5, 21.7 and 18.4 million reported cases respectively during the period 1975–1979 (<xref ref-type="table" rid="pone-0031076-t001">Table 1</xref>
). In contrast, in 1995, although gastrointestinal diseases remained the dominating disease type (41.6%), the proportion of all cases that were due to viral hepatitis quickly rose to 35.7%. Sexually transmitted diseases re-emerged, and together with HIV, consisted of a substantial 6.3% of all reported cases. In 2008, the three most frequently reported disease types included viral hepatitis (38.3%), bacterial infections (33.3%) and STIs and HIV (9.8%), which account for 5.4, 4.8 and 1.4 million diagnosed cases respectively during the period 2005–2008 (<xref ref-type="table" rid="pone-0031076-t001">Table 1</xref>
).</p>
<fig id="pone-0031076-g001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0031076.g001</object-id>
<label>Figure 1</label>
<caption><title>Temporal trend of morbidity and mortality rates, and their composition, of the eight major notifable infectious disease types in China.</title>
</caption>
<graphic xlink:href="pone.0031076.g001"></graphic>
</fig>
<table-wrap id="pone-0031076-t001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0031076.t001</object-id>
<label>Table 1</label>
<caption><title>Estimated number of diagnosed cases, death cases and case fatality rate of eight major infectious disease types in China in 5-year intervals.</title>
</caption>
<alternatives><graphic id="pone-0031076-t001-1" xlink:href="pone.0031076.t001"></graphic>
<table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
</colgroup>
<thead><tr><td align="left" rowspan="1" colspan="1">Period</td>
<td align="left" rowspan="1" colspan="1">1975–1979</td>
<td align="left" rowspan="1" colspan="1">1980–1984</td>
<td align="left" rowspan="1" colspan="1">1985–1989</td>
<td align="left" rowspan="1" colspan="1">1990–1994</td>
<td align="left" rowspan="1" colspan="1">1995–1999</td>
<td align="left" rowspan="1" colspan="1">2000–2004</td>
<td align="left" rowspan="1" colspan="1">2005–2008</td>
</tr>
</thead>
<tbody><tr><td colspan="2" align="left" rowspan="1"><bold>Quarantinable diseases</bold>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diagnosed cases</td>
<td align="left" rowspan="1" colspan="1">146,271</td>
<td align="left" rowspan="1" colspan="1">435,073</td>
<td align="left" rowspan="1" colspan="1">410,779</td>
<td align="left" rowspan="1" colspan="1">277,005</td>
<td align="left" rowspan="1" colspan="1">273,160</td>
<td align="left" rowspan="1" colspan="1">156,579</td>
<td align="left" rowspan="1" colspan="1">57,735</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Death cases</td>
<td align="left" rowspan="1" colspan="1">8,190</td>
<td align="left" rowspan="1" colspan="1">14,694</td>
<td align="left" rowspan="1" colspan="1">10,636</td>
<td align="left" rowspan="1" colspan="1">5,879</td>
<td align="left" rowspan="1" colspan="1">3,757</td>
<td align="left" rowspan="1" colspan="1">2,192</td>
<td align="left" rowspan="1" colspan="1">1,382</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Case fatality rate (%)</td>
<td align="left" rowspan="1" colspan="1">5.599%</td>
<td align="left" rowspan="1" colspan="1">3.377%</td>
<td align="left" rowspan="1" colspan="1">2.589%</td>
<td align="left" rowspan="1" colspan="1">2.122%</td>
<td align="left" rowspan="1" colspan="1">1.375%</td>
<td align="left" rowspan="1" colspan="1">1.400%</td>
<td align="left" rowspan="1" colspan="1">2.393%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">[lower-upper limits]</td>
<td align="left" rowspan="1" colspan="1">[5.419–5.779%]</td>
<td align="left" rowspan="1" colspan="1">[3.295–3.458%]</td>
<td align="left" rowspan="1" colspan="1">[2.515–2.664%]</td>
<td align="left" rowspan="1" colspan="1">[2.040–2.204%]</td>
<td align="left" rowspan="1" colspan="1">[1.309–1.442%]</td>
<td align="left" rowspan="1" colspan="1">[1.311–1.489%]</td>
<td align="left" rowspan="1" colspan="1">[2.202–2.584%]</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"><bold>Vaccine-preventable</bold>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diagnosed cases</td>
<td align="left" rowspan="1" colspan="1">18,380,894</td>
<td align="left" rowspan="1" colspan="1">6,759,577</td>
<td align="left" rowspan="1" colspan="1">1,360,323</td>
<td align="left" rowspan="1" colspan="1">597,181</td>
<td align="left" rowspan="1" colspan="1">1,383,591</td>
<td align="left" rowspan="1" colspan="1">1,583,847</td>
<td align="left" rowspan="1" colspan="1">1,255,778</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Death cases</td>
<td align="left" rowspan="1" colspan="1">72,545</td>
<td align="left" rowspan="1" colspan="1">28,885</td>
<td align="left" rowspan="1" colspan="1">7,085</td>
<td align="left" rowspan="1" colspan="1">3,130</td>
<td align="left" rowspan="1" colspan="1">3,987</td>
<td align="left" rowspan="1" colspan="1">3,684</td>
<td align="left" rowspan="1" colspan="1">1,409</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Case fatality rate (%)</td>
<td align="left" rowspan="1" colspan="1">0.395%</td>
<td align="left" rowspan="1" colspan="1">0.427%</td>
<td align="left" rowspan="1" colspan="1">0.521%</td>
<td align="left" rowspan="1" colspan="1">0.524%</td>
<td align="left" rowspan="1" colspan="1">0.288%</td>
<td align="left" rowspan="1" colspan="1">0.233%</td>
<td align="left" rowspan="1" colspan="1">0.112%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">[lower-upper limits]</td>
<td align="left" rowspan="1" colspan="1">[0.390–0.399%]</td>
<td align="left" rowspan="1" colspan="1">[0.420–0.435%]</td>
<td align="left" rowspan="1" colspan="1">[0.502–0.539%]</td>
<td align="left" rowspan="1" colspan="1">[0.496–0.552%]</td>
<td align="left" rowspan="1" colspan="1">[0.274–0.302%]</td>
<td align="left" rowspan="1" colspan="1">[0.221–0.244%]</td>
<td align="left" rowspan="1" colspan="1">[0.103–0.121%]</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"><bold>STIs & HIV</bold>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diagnosed cases</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">25,447</td>
<td align="left" rowspan="1" colspan="1">455,258</td>
<td align="left" rowspan="1" colspan="1">1,047,612</td>
<td align="left" rowspan="1" colspan="1">1,315,529</td>
<td align="left" rowspan="1" colspan="1">1,401,467</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Death cases</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">108</td>
<td align="left" rowspan="1" colspan="1">1,568</td>
<td align="left" rowspan="1" colspan="1">1,763</td>
<td align="left" rowspan="1" colspan="1">2,838</td>
<td align="left" rowspan="1" colspan="1">12,533</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Case fatality rate (%)</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">–</td>
<td align="left" rowspan="1" colspan="1">0.426%</td>
<td align="left" rowspan="1" colspan="1">0.344%</td>
<td align="left" rowspan="1" colspan="1">0.168%</td>
<td align="left" rowspan="1" colspan="1">0.216%</td>
<td align="left" rowspan="1" colspan="1">0.894%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">[lower-upper limits]</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">[0.304–0.549%]</td>
<td align="left" rowspan="1" colspan="1">[0.318–0.370%]</td>
<td align="left" rowspan="1" colspan="1">[0.156–0.180%]</td>
<td align="left" rowspan="1" colspan="1">[0.204–0.228%]</td>
<td align="left" rowspan="1" colspan="1">[0.870–0.918%]</td>
</tr>
<tr><td colspan="2" align="left" rowspan="1"><bold>Gastrointestinal diseases</bold>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diagnosed cases</td>
<td align="left" rowspan="1" colspan="1">35,552,854</td>
<td align="left" rowspan="1" colspan="1">27,701,730</td>
<td align="left" rowspan="1" colspan="1">13,159,721</td>
<td align="left" rowspan="1" colspan="1">5,536,107</td>
<td align="left" rowspan="1" colspan="1">3,834,567</td>
<td align="left" rowspan="1" colspan="1">2,613,811</td>
<td align="left" rowspan="1" colspan="1">1,644,061</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Death cases</td>
<td align="left" rowspan="1" colspan="1">46,153</td>
<td align="left" rowspan="1" colspan="1">23,698</td>
<td align="left" rowspan="1" colspan="1">13,909</td>
<td align="left" rowspan="1" colspan="1">5,257</td>
<td align="left" rowspan="1" colspan="1">2,230</td>
<td align="left" rowspan="1" colspan="1">1,298</td>
<td align="left" rowspan="1" colspan="1">593</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Case fatality rate (%)</td>
<td align="left" rowspan="1" colspan="1">0.130%</td>
<td align="left" rowspan="1" colspan="1">0.086%</td>
<td align="left" rowspan="1" colspan="1">0.106%</td>
<td align="left" rowspan="1" colspan="1">0.095%</td>
<td align="left" rowspan="1" colspan="1">0.058%</td>
<td align="left" rowspan="1" colspan="1">0.050%</td>
<td align="left" rowspan="1" colspan="1">0.036%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">[lower-upper limits]</td>
<td align="left" rowspan="1" colspan="1">[0.128–0.132%]</td>
<td align="left" rowspan="1" colspan="1">[0.084–0.087%]</td>
<td align="left" rowspan="1" colspan="1">[0.103–0.108%]</td>
<td align="left" rowspan="1" colspan="1">[0.091–0.099%]</td>
<td align="left" rowspan="1" colspan="1">[0.054–0.062%]</td>
<td align="left" rowspan="1" colspan="1">[0.046–0.054%]</td>
<td align="left" rowspan="1" colspan="1">[0.032–0.040%]</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"><bold>Bacterial Infections</bold>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diagnosed cases</td>
<td align="left" rowspan="1" colspan="1">2,258,134</td>
<td align="left" rowspan="1" colspan="1">1,047,059</td>
<td align="left" rowspan="1" colspan="1">503,691</td>
<td align="left" rowspan="1" colspan="1">202,619</td>
<td align="left" rowspan="1" colspan="1">1,476,435</td>
<td align="left" rowspan="1" colspan="1">3,363,049</td>
<td align="left" rowspan="1" colspan="1">4,820,142</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Death cases</td>
<td align="left" rowspan="1" colspan="1">78,491</td>
<td align="left" rowspan="1" colspan="1">30,151</td>
<td align="left" rowspan="1" colspan="1">16,081</td>
<td align="left" rowspan="1" colspan="1">3,119</td>
<td align="left" rowspan="1" colspan="1">4,205</td>
<td align="left" rowspan="1" colspan="1">5,908</td>
<td align="left" rowspan="1" colspan="1">13,330</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Case fatality rate (%)</td>
<td align="left" rowspan="1" colspan="1">3.476%</td>
<td align="left" rowspan="1" colspan="1">2.880%</td>
<td align="left" rowspan="1" colspan="1">3.193%</td>
<td align="left" rowspan="1" colspan="1">1.540%</td>
<td align="left" rowspan="1" colspan="1">0.285%</td>
<td align="left" rowspan="1" colspan="1">0.176%</td>
<td align="left" rowspan="1" colspan="1">0.277%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">[lower-upper limits]</td>
<td align="left" rowspan="1" colspan="1">[3.439–3.512%]</td>
<td align="left" rowspan="1" colspan="1">[2.831–2.919%]</td>
<td align="left" rowspan="1" colspan="1">[3.118–3.267%]</td>
<td align="left" rowspan="1" colspan="1">[1.458–1.622%]</td>
<td align="left" rowspan="1" colspan="1">[0.272–0.298%]</td>
<td align="left" rowspan="1" colspan="1">[0.169–0.183%]</td>
<td align="left" rowspan="1" colspan="1">[0.269–0.284%]</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"><bold>Zoonoses</bold>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diagnosed cases</td>
<td align="left" rowspan="1" colspan="1">329,350</td>
<td align="left" rowspan="1" colspan="1">293,478</td>
<td align="left" rowspan="1" colspan="1">315,863</td>
<td align="left" rowspan="1" colspan="1">141,292</td>
<td align="left" rowspan="1" colspan="1">73,625</td>
<td align="left" rowspan="1" colspan="1">54,194</td>
<td align="left" rowspan="1" colspan="1">97,626</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Death cases</td>
<td align="left" rowspan="1" colspan="1">17,354</td>
<td align="left" rowspan="1" colspan="1">35,607</td>
<td align="left" rowspan="1" colspan="1">29,295</td>
<td align="left" rowspan="1" colspan="1">12,528</td>
<td align="left" rowspan="1" colspan="1">4,496</td>
<td align="left" rowspan="1" colspan="1">8,161</td>
<td align="left" rowspan="1" colspan="1">11,420</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Case fatality rate (%)</td>
<td align="left" rowspan="1" colspan="1">5.269%</td>
<td align="left" rowspan="1" colspan="1">12.133%</td>
<td align="left" rowspan="1" colspan="1">9.275%</td>
<td align="left" rowspan="1" colspan="1">8.867%</td>
<td align="left" rowspan="1" colspan="1">6.107%</td>
<td align="left" rowspan="1" colspan="1">15.060%</td>
<td align="left" rowspan="1" colspan="1">11.698%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">[lower-upper limits]</td>
<td align="left" rowspan="1" colspan="1">[5.152–5.386%]</td>
<td align="left" rowspan="1" colspan="1">[11.952–12.313%]</td>
<td align="left" rowspan="1" colspan="1">[9.120–9.429%]</td>
<td align="left" rowspan="1" colspan="1">[8.640–9.094%]</td>
<td align="left" rowspan="1" colspan="1">[5.842–6.371%]</td>
<td align="left" rowspan="1" colspan="1">[14.599–15.520%]</td>
<td align="left" rowspan="1" colspan="1">[11.390–12.007%]</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"><bold>Vector-borne diseases</bold>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diagnosed cases</td>
<td align="left" rowspan="1" colspan="1">21,731,070</td>
<td align="left" rowspan="1" colspan="1">10,533,882</td>
<td align="left" rowspan="1" colspan="1">1,690,125</td>
<td align="left" rowspan="1" colspan="1">537,490</td>
<td align="left" rowspan="1" colspan="1">266,424</td>
<td align="left" rowspan="1" colspan="1">228,970</td>
<td align="left" rowspan="1" colspan="1">216,301</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Death cases</td>
<td align="left" rowspan="1" colspan="1">37,200</td>
<td align="left" rowspan="1" colspan="1">19,283</td>
<td align="left" rowspan="1" colspan="1">13,262</td>
<td align="left" rowspan="1" colspan="1">7,081</td>
<td align="left" rowspan="1" colspan="1">4,232</td>
<td align="left" rowspan="1" colspan="1">2,863</td>
<td align="left" rowspan="1" colspan="1">1,375</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Case fatality rate (%)</td>
<td align="left" rowspan="1" colspan="1">0.171%</td>
<td align="left" rowspan="1" colspan="1">0.183%</td>
<td align="left" rowspan="1" colspan="1">0.785%</td>
<td align="left" rowspan="1" colspan="1">1.317%</td>
<td align="left" rowspan="1" colspan="1">1.589%</td>
<td align="left" rowspan="1" colspan="1">1.250%</td>
<td align="left" rowspan="1" colspan="1">0.636%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">[lower-upper limits]</td>
<td align="left" rowspan="1" colspan="1">[0.169–0.174%]</td>
<td align="left" rowspan="1" colspan="1">[0.179–0.187%]</td>
<td align="left" rowspan="1" colspan="1">[0.764–0.805%]</td>
<td align="left" rowspan="1" colspan="1">[1.271–1.364%]</td>
<td align="left" rowspan="1" colspan="1">[1.516–1.661%]</td>
<td align="left" rowspan="1" colspan="1">[1.181–1.320%]</td>
<td align="left" rowspan="1" colspan="1">[0.584–0.687%]</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"><bold>Viral Hepatitis</bold>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diagnosed cases</td>
<td align="left" rowspan="1" colspan="1">4,359,763</td>
<td align="left" rowspan="1" colspan="1">4,507,954</td>
<td align="left" rowspan="1" colspan="1">5,599,627</td>
<td align="left" rowspan="1" colspan="1">5,592,120</td>
<td align="left" rowspan="1" colspan="1">3,897,266</td>
<td align="left" rowspan="1" colspan="1">4,400,935</td>
<td align="left" rowspan="1" colspan="1">5,388,845</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Death cases</td>
<td align="left" rowspan="1" colspan="1">9,158</td>
<td align="left" rowspan="1" colspan="1">9,950</td>
<td align="left" rowspan="1" colspan="1">10,463</td>
<td align="left" rowspan="1" colspan="1">6,656</td>
<td align="left" rowspan="1" colspan="1">4,616</td>
<td align="left" rowspan="1" colspan="1">4,572</td>
<td align="left" rowspan="1" colspan="1">4,657</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Case fatality rate (%)</td>
<td align="left" rowspan="1" colspan="1">0.210%</td>
<td align="left" rowspan="1" colspan="1">0.221%</td>
<td align="left" rowspan="1" colspan="1">0.187%</td>
<td align="left" rowspan="1" colspan="1">0.119%</td>
<td align="left" rowspan="1" colspan="1">0.118%</td>
<td align="left" rowspan="1" colspan="1">0.104%</td>
<td align="left" rowspan="1" colspan="1">0.086%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">[lower-upper limits]</td>
<td align="left" rowspan="1" colspan="1">[0.203–0.217%]</td>
<td align="left" rowspan="1" colspan="1">[0.214–0.227%]</td>
<td align="left" rowspan="1" colspan="1">[0.181–0.192%]</td>
<td align="left" rowspan="1" colspan="1">[0.115–0.123%]</td>
<td align="left" rowspan="1" colspan="1">[0.113–0.124%]</td>
<td align="left" rowspan="1" colspan="1">[0.099–0.108%]</td>
<td align="left" rowspan="1" colspan="1">[0.083–0.090]</td>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
<p>Rapid declines in infectious diseases mortality and its similar saddle pattern were also observed in the past 35 years. The overall mortality rate in China decreased from 66 cases per million in 1975 to 5 cases per million in 1995, then it gradually reverted to 10 cases per million in 2008 (<xref ref-type="fig" rid="pone-0031076-g001">Figure 1b</xref>
). Vaccine-preventable diseases, bacterial infections and gastrointestinal diseases were the greatest causes of death, accounting for 30.0%, 24.0% and 19.5% of reported infectious diseases death cases among Chinese population in 1975 (<xref ref-type="fig" rid="pone-0031076-g001">Figure 1b</xref>
). However, the rank of composition shifted to zoonoses (22%), viral hepatitis (17.3%) and quarantinable diseases (15.3%) in 1995. Since then, the proportion of deaths caused by STIs and HIV, and bacterial infections rapidly increased. By 2008, STIs and HIV (39.5%) has become the mostly deadly infectious disease, followed by bacterial infections (24.7%) and zoonoses (20.0%). During the period 2005–2008, these three types of diseases have led to approximately 12,500, 13,300 and 11,400 deaths in China, respectively (<xref ref-type="table" rid="pone-0031076-t001">Table 1</xref>
).</p>
<p>Case fatality rate measures the percentage of deaths among people who contracted a disease. During 1975–2008, the disease type with the highest fatality rate is zoonoses, consistently causing 5–15% of deaths among the infected population. Following that, quarantinable diseases killed 1.4–5.6% of its infected population during the same period. In comparison, fatality rates in vaccine-preventable (0.112% during 2005–2008), gastrointestinal diseases (0.036%), bacterial infections (0.277%) and viral hepatitis (0.086%) show clear decreasing trends in China, corresponding to 3.5, 3.6, 12.4 and 2.4 folders reduction in comparison with the period 1975–1979, respectively. However, fatality of STIs and HIV increased to 0.894% during 2005–2008, doubling the level in 1985–1989 (<xref ref-type="table" rid="pone-0031076-t001">Table 1</xref>
).</p>
</sec>
<sec id="s3b"><title>Quarantinable diseases</title>
<p>Plague, cholera and epidemic haemorrhagic fever (which is caused by hantaviruses and mainly transmitted by rodents) have had diverse impacts on the Chinese population at different stages of recent history. During 1944 to 1949, there were 179 notified outbreaks of plague across China, which resulted in an estimated 2.4 million deaths. From 1950 to 1954, the mean number of annual notifications of plague infection was 1,373 cases per year <xref rid="pone.0031076-Zhang4" ref-type="bibr">[11]</xref>
, <xref rid="pone.0031076-Cong1" ref-type="bibr">[12]</xref>
. This was then substantially reduced to 20 cases per year over the following 30 to 40 years. Since 1990, the number of annual reported plague cases has increased to approximately 52, which is equivalent to 0.004 per 100,000 population per year <xref rid="pone.0031076-Zhang4" ref-type="bibr">[11]</xref>
, <xref rid="pone.0031076-Cong1" ref-type="bibr">[12]</xref>
. There is no observed trend in the mean annual mortality due to plague during 1999–2008 (<xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
).</p>
<table-wrap id="pone-0031076-t002" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0031076.t002</object-id>
<label>Table 2</label>
<caption><title>Mortality rates and temporal trends in notifiable infectious diseases<xref ref-type="table-fn" rid="nt103">a</xref>
in China, 1999–2008.</title>
</caption>
<alternatives><graphic id="pone-0031076-t002-2" xlink:href="pone.0031076.t002"></graphic>
<table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
<col align="center" span="1"></col>
</colgroup>
<thead><tr><td align="left" rowspan="1" colspan="1">Notifiable infectious diseases</td>
<td colspan="2" align="left" rowspan="1">Mean Annual Mortality rate per 100,000 population</td>
<td colspan="2" align="left" rowspan="1">Mean annual increase or decrease during 1999 to 2008</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1999–2003</td>
<td align="left" rowspan="1" colspan="1">2004–2008</td>
<td align="left" rowspan="1" colspan="1">Percentage (%)</td>
<td align="left" rowspan="1" colspan="1">95% confidence interval</td>
</tr>
</thead>
<tbody><tr><td colspan="5" align="left" rowspan="1"><bold>Quarantinable diseases</bold>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Plague</td>
<td align="left" rowspan="1" colspan="1">0.0100</td>
<td align="left" rowspan="1" colspan="1">0.0036</td>
<td align="left" rowspan="1" colspan="1">−22</td>
<td align="left" rowspan="1" colspan="1">−57 to +41</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Cholera</td>
<td align="left" rowspan="1" colspan="1">0.0081</td>
<td align="left" rowspan="1" colspan="1">0.0002</td>
<td align="left" rowspan="1" colspan="1">−48<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−70 to −12</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Epidemic haemorrhagic fever</td>
<td align="left" rowspan="1" colspan="1">0.0235</td>
<td align="left" rowspan="1" colspan="1">0.0159</td>
<td align="left" rowspan="1" colspan="1">−12<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−20 to −3</td>
</tr>
<tr><td colspan="5" align="left" rowspan="1"><bold>Vaccine-preventable diseases</bold>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Poliomyelitis</td>
<td align="left" rowspan="1" colspan="1">0.0001<xref ref-type="table-fn" rid="nt104">b</xref>
</td>
<td align="left" rowspan="1" colspan="1">0.0001<xref ref-type="table-fn" rid="nt104">b</xref>
</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">0 to 0</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Measles</td>
<td align="left" rowspan="1" colspan="1">0.0101</td>
<td align="left" rowspan="1" colspan="1">0.0058</td>
<td align="left" rowspan="1" colspan="1">−6</td>
<td align="left" rowspan="1" colspan="1">−20 to +10</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Pertussis</td>
<td align="left" rowspan="1" colspan="1">0.0081</td>
<td align="left" rowspan="1" colspan="1">0.0003</td>
<td align="left" rowspan="1" colspan="1">−44<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−59 to −23</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Diphtheria</td>
<td align="left" rowspan="1" colspan="1">0.0080</td>
<td align="left" rowspan="1" colspan="1">0.0080</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">−60 to +153</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Tetanus</td>
<td align="left" rowspan="1" colspan="1">0.0323</td>
<td align="left" rowspan="1" colspan="1">0.0174</td>
<td align="left" rowspan="1" colspan="1">−12<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−2 to −8</td>
</tr>
<tr><td colspan="5" align="left" rowspan="1"><bold>Gastrointestinal diseases</bold>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Bacillary and amoebic dysentery</td>
<td align="left" rowspan="1" colspan="1">0.0155</td>
<td align="left" rowspan="1" colspan="1">0.0087</td>
<td align="left" rowspan="1" colspan="1">−10<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−18 to −1</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Typhoid fever/paratyphoid fever</td>
<td align="left" rowspan="1" colspan="1">0.0086</td>
<td align="left" rowspan="1" colspan="1">0.0029</td>
<td align="left" rowspan="1" colspan="1">−22<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−39 to −2</td>
</tr>
<tr><td colspan="5" align="left" rowspan="1"><bold>Vector-borne diseases</bold>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Epidemic/endemic typhus</td>
<td align="left" rowspan="1" colspan="1">0.0080</td>
<td align="left" rowspan="1" colspan="1">0.0001<sup>†</sup>
</td>
<td align="left" rowspan="1" colspan="1">−54</td>
<td align="left" rowspan="1" colspan="1">−87 to +61</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Japanese encephalitis (scrub typhus)</td>
<td align="left" rowspan="1" colspan="1">0.0254</td>
<td align="left" rowspan="1" colspan="1">0.0196</td>
<td align="left" rowspan="1" colspan="1">−6</td>
<td align="left" rowspan="1" colspan="1">−14 to +3</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Visceral leishmaniasis (kala-azar)</td>
<td align="left" rowspan="1" colspan="1">0.0075</td>
<td align="left" rowspan="1" colspan="1">0.0035</td>
<td align="left" rowspan="1" colspan="1">−5</td>
<td align="left" rowspan="1" colspan="1">−69 to +20</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Malaria</td>
<td align="left" rowspan="1" colspan="1">0.0087</td>
<td align="left" rowspan="1" colspan="1">0.0040</td>
<td align="left" rowspan="1" colspan="1">−14</td>
<td align="left" rowspan="1" colspan="1">−26 to +1</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Dengue fever</td>
<td align="left" rowspan="1" colspan="1">0.0100</td>
<td align="left" rowspan="1" colspan="1">0.0051</td>
<td align="left" rowspan="1" colspan="1">−42<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−80 to +66</td>
</tr>
<tr><td colspan="5" align="left" rowspan="1"><bold>Zoonotic infections</bold>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Leptospirosis</td>
<td align="left" rowspan="1" colspan="1">0.0112</td>
<td align="left" rowspan="1" colspan="1">0.0040</td>
<td align="left" rowspan="1" colspan="1">−20<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−32 to −6</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Brucellosis</td>
<td align="left" rowspan="1" colspan="1">0.0100</td>
<td align="left" rowspan="1" colspan="1">0.0035</td>
<td align="left" rowspan="1" colspan="1">−24</td>
<td align="left" rowspan="1" colspan="1">−64 to +63</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Anthrax</td>
<td align="left" rowspan="1" colspan="1">0.0083</td>
<td align="left" rowspan="1" colspan="1">0.0025</td>
<td align="left" rowspan="1" colspan="1">−31<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−100 to −1</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Rabies</td>
<td align="left" rowspan="1" colspan="1">0.0753</td>
<td align="left" rowspan="1" colspan="1">0.2153</td>
<td align="left" rowspan="1" colspan="1">26<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">+14 to +37</td>
</tr>
<tr><td colspan="5" align="left" rowspan="1"><bold>Bacterial infections</bold>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Meningococcal meningitis</td>
<td align="left" rowspan="1" colspan="1">0.0099</td>
<td align="left" rowspan="1" colspan="1">0.0126</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">−2 to +8</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Scarlet fever</td>
<td align="left" rowspan="1" colspan="1">0.0080</td>
<td align="left" rowspan="1" colspan="1">0.0034</td>
<td align="left" rowspan="1" colspan="1">−23</td>
<td align="left" rowspan="1" colspan="1">−66 to +74</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Tuberculosis</td>
<td align="left" rowspan="1" colspan="1">0.0580</td>
<td align="left" rowspan="1" colspan="1">0.2244</td>
<td align="left" rowspan="1" colspan="1">28<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">+14 to +43</td>
</tr>
<tr><td colspan="5" align="left" rowspan="1"><bold>Sexually transmitted infections</bold>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">HIV infection</td>
<td align="left" rowspan="1" colspan="1">0.0285</td>
<td align="left" rowspan="1" colspan="1">0.2185</td>
<td align="left" rowspan="1" colspan="1">44<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">30 to 58</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Gonorrhoea</td>
<td align="left" rowspan="1" colspan="1">0.0100</td>
<td align="left" rowspan="1" colspan="1">0.0002</td>
<td align="left" rowspan="1" colspan="1">−49<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−63 to −30</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Syphilis</td>
<td align="left" rowspan="1" colspan="1">0.0083</td>
<td align="left" rowspan="1" colspan="1">0.0059</td>
<td align="left" rowspan="1" colspan="1">−4</td>
<td align="left" rowspan="1" colspan="1">−19 to +15</td>
</tr>
<tr><td colspan="5" align="left" rowspan="1"><bold>Viral hepatitis</bold>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">All</td>
<td align="left" rowspan="1" colspan="1">0.0697</td>
<td align="left" rowspan="1" colspan="1">0.0897</td>
<td align="left" rowspan="1" colspan="1">5<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">2 to 8</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Hepatitis A</td>
<td align="left" rowspan="1" colspan="1">0.0059</td>
<td align="left" rowspan="1" colspan="1">0.0025</td>
<td align="left" rowspan="1" colspan="1">−21<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">−32 to −8</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Hepatitis B</td>
<td align="left" rowspan="1" colspan="1">0.0473</td>
<td align="left" rowspan="1" colspan="1">0.0642</td>
<td align="left" rowspan="1" colspan="1">9<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">1 to 20</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Hepatitis C</td>
<td align="left" rowspan="1" colspan="1">0.0027</td>
<td align="left" rowspan="1" colspan="1">0.0076</td>
<td align="left" rowspan="1" colspan="1">30<xref ref-type="table-fn" rid="nt102">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">16 to 46</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Hepatitis E</td>
<td align="left" rowspan="1" colspan="1">0.0019</td>
<td align="left" rowspan="1" colspan="1">0.0031</td>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1">−3 to +24</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot><fn id="nt101"><label></label>
<p>AIDS: acquired immunodeficiency syndrome; HIV: human immunodeficiency virus.</p>
</fn>
<fn id="nt102"><label></label>
<p>*Denotes a statistically significant (p<0.05) mean annual increase or decrease of disease-specific mortality rates during 1999 to 2008.</p>
</fn>
<fn id="nt103"><label>a</label>
<p>Group A and B notifiable diseases.</p>
</fn>
<fn id="nt104"><label>b</label>
<p>The detection limit of the mortality rate is 0.0001 per 100,000 population.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Cholera has caused two major outbreaks in China in recent decades: the first started in 1973, leading to a large peak in the number of cases in 1980, with an annual notification rate of four cases per 100,000 population (<xref ref-type="fig" rid="pone-0031076-g002">Figure 2a</xref>
). The rate then gradually subsided but there was a second major outbreak in the early 1990s. During 2004 to 2008, cholera cases were reported at relatively low incidence levels: the disease is well controlled, with a mean annual decline in mortality due to the disease of 48% (95% CI, 12–70%, <xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
).</p>
<fig id="pone-0031076-g002" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0031076.g002</object-id>
<label>Figure 2</label>
<caption><title>Incidence of notified cases of infectious diseases<sup>a</sup>
in China by category of disease, 1975–2008.</title>
</caption>
<graphic xlink:href="pone.0031076.g002"></graphic>
</fig>
<p>Despite a 13-fold decrease in the epidemic haemorrhagic fever notification rate since 1987 and continuous decline in the disease-specific mortality rate, China is still the country most severely affected by this disease, with 90% of the global cases of haemorrhagic fever with renal syndrome (HFRS) occurring in China <xref rid="pone.0031076-Guan1" ref-type="bibr">[13]</xref>
, <xref rid="pone.0031076-Fang1" ref-type="bibr">[14]</xref>
. HFRS remains an important public health issue in China, as an estimated 20,000–50,000 new cases are reported each year <xref rid="pone.0031076-Fang2" ref-type="bibr">[15]</xref>
. It is important to establish effective strategies to reduce the incidence of HFRS. The mean annual decline in mortality due to this disease is 12% (95% CI, 3–20%, <xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
).</p>
<p>Persistent public health campaigns have been effective in reducing the number of rodents, which has been largely responsible for the decreasing trend in plague and epidemic haemorrhagic fever notifications. Improved hygiene and sanitary conditions have also led to the decline in incidence and mortality due to cholera.</p>
<p>Overall, these quarantinable diseases persist at low endemic levels, but still pose potential threats.</p>
</sec>
<sec id="s3c"><title>Vaccine-preventable diseases</title>
<p>In the early 1960s, a nationwide vaccination programme was implemented to eradicate smallpox, measles, poliomyelitis, tuberculosis (TB), pertussis, diphtheria and tetanus. Measles vaccine (one-dose schedule) was introduced in the country in 1965, and from 1978 it has been administered routinely to all infants through the country's expanded programme on immunisation <xref rid="pone.0031076-Ze1" ref-type="bibr">[16]</xref>
. Measles mortality and morbidity has declined continuously and substantially since 1978. During 1995 to 2007, the incidence was less than one per 100,000 population (<xref ref-type="fig" rid="pone-0031076-g002">Figure 2b</xref>
), with fewer than 250 deaths due to measles reported annually <xref rid="pone.0031076-Zhang5" ref-type="bibr">[17]</xref>
. However, limited small-scale outbreaks continue to occur among susceptible children in rural areas with low routine immunisation coverage and among susceptible children of ‘floating immigrants’ (the relatively large population of internal Chinese immigrants who leave their rural hometown and move to urban areas to seek better employment opportunities) <xref rid="pone.0031076-Zhang6" ref-type="bibr">[18]</xref>
. In addition, although a two-dose measles vaccination schedule has been recommended in China since 1986, the second dose is widely perceived as a non-mandatory booster. Coverage of the second dose is not reported, but is thought to be low <xref rid="pone.0031076-Lixia1" ref-type="bibr">[19]</xref>
.</p>
<p>A global effort to eradicate polio began in 1988 <xref rid="pone.0031076-Fine1" ref-type="bibr">[20]</xref>
), wild-type poliovirus was eradicated in China in 1994 <xref rid="pone.0031076-Wang1" ref-type="bibr">[21]</xref>
, <xref rid="pone.0031076-Yang1" ref-type="bibr">[22]</xref>
; extensive surveillance for acute flaccid paralysis is thought to have strongly contributed to polio eradication in the country <xref rid="pone.0031076-Chiba1" ref-type="bibr">[23]</xref>
.</p>
<p>Vaccination against diphtheria, pertussis and tetanus was also made mandatory for all infants under the country's expanded immunisation programme since 1960s. In 2006, vaccination coverage of the vaccine against the three diseases reached 99.0%, comparable with polio vaccination (99.0%) and measles vaccination (98.6%) <xref rid="pone.0031076-Zhao1" ref-type="bibr">[24]</xref>
. Since 2006, the total annual incidence of reported cases of diphtheria, pertussis and tetanus decreased to below 0.5 cases per 100,000 population (<xref ref-type="fig" rid="pone-0031076-g002">Figure 2b</xref>
). Widespread vaccination against these diseases is one of the important contributors to improvements in child health in China: infant mortality rate dropped from 20% in 1950 to 1.7% in 2006 <xref rid="pone.0031076-Zhao1" ref-type="bibr">[24]</xref>
. Mandatory vaccination of children throughout the past decades has been demonstrated to be successful in containing the spread of these diseases in China. It is estimated that polio vaccination alone has saved a total of 1,128,000 children in China from disabling disease and suffering <xref rid="pone.0031076-Zhao1" ref-type="bibr">[24]</xref>
. Mortality due to pertussis and tetanus experienced significant annual decays at rates of 44% (95% CI, 23–59%) and 12% (95 CI%, 30–65%) (<xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
). Trends in TB are discussed in the section on bacterial infections.</p>
</sec>
<sec id="s3d"><title>Gastrointestinal diseases</title>
<p>The number of reported cases of bacillary and amoebic dysentery has declined rapidly since 1975 in China (<xref ref-type="fig" rid="pone-0031076-g002">Figure 2c</xref>
). An initial large decline occurred in the mid-1970s, largely due to substantial improvements in sanitary conditions and quality of drinking water. However, approximately 84 million diarrhoeal episodes were still reported in China each year at the end of the 1990s: 25% of the episodes were in children under five years of age <xref rid="pone.0031076-Yu1" ref-type="bibr">[25]</xref>
. <italic>Shigella</italic>
bacilli and <italic>Entamoeba histolytica</italic>
have been found to be the main aetiological organisms <xref rid="pone.0031076-Yu1" ref-type="bibr">[25]</xref>
. A live oral <italic>Shigella</italic>
vaccine was then developed in 1997 in China, which provided 60–70% protection against <italic>S. flexneri</italic>
serotype 2a and <italic>S. sonnei</italic>
infection <xref rid="pone.0031076-Tu1" ref-type="bibr">[26]</xref>
. Between 1999 and 2008, reported deaths due to dysentery decreased by a mean of 10% (95 CI%, 1–18%) per year (<xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
).</p>
<p>The number of notified cases of typhoid and paratyphoid fevers is very low in China, with an annual rate of 1.2 notifications per 100,000 population in 2008 (<xref ref-type="fig" rid="pone-0031076-g002">Figure 2c</xref>
). The number of reported deaths due to these infections has decreased at a mean rate of 22% (95% CI, 2–39%) per year (<xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
). However, these infections remain endemic in some rural areas of southern China, where there is a lack of adequate sewage disposal and safe water supplies <xref rid="pone.0031076-Yang2" ref-type="bibr">[27]</xref>
. A large, localised outbreak occurred during 1996 to 1998 in Xing-An county in the southern province of Guangxi, which resulted in an annual incidence rate of 39 to 103 cases per 100,000 population <xref rid="pone.0031076-Yang3" ref-type="bibr">[28]</xref>
. Subsequently 61,030 doses of Vi polysaccharide vaccine were administered in 1999 and the epidemic quickly subsided. No further typhoid fever outbreaks were reported in China.</p>
</sec>
<sec id="s3e"><title>Vector-borne diseases and parasitic diseases</title>
<p>National public health campaigns since 1949 in China effectively improved hygiene and sanitary conditions, which substantially reduced most of vector-borne infectious diseases. In 1955, a total of 5,970,000 malaria cases were reported nationally, accounting for 68% of the total number of reported infectious disease cases and an incidence of 1,028 per 100,000 population. Malaria disproportionately affected some regions, with incidence rates as high as 10,360 per 100,000 population in Hainan province <xref rid="pone.0031076-Qian1" ref-type="bibr">[29]</xref>
. In 1960 and 1970, there were major outbreaks of the disease, leading to a national incidence of 1,554 and 2,961, respectively, per 100,000 population <xref rid="pone.0031076-Qian1" ref-type="bibr">[29]</xref>
. It took considerable time for the incidence to fall: the number of cases did not decrease to 1955 levels until 1982, but it has since continued to decrease. By 1998, the rate of notifications decreased to 31.3 per 100,000 population, corresponding to more than a 99% reduction and accounting for only 1.3% of the total number of reported cases of notifiable conditions <xref rid="pone.0031076-Qian1" ref-type="bibr">[29]</xref>
. Data for 2004 to 2008 indicate that the mean annual mortality rate due to malaria was reduced to 0.004 per 100,000 population (<xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
), corresponding to only 52 reported deaths per year countrywide. Malaria no longer represents a major threat to the Chinese population. The ongoing government-mobilised mass movement for vector control is probably an effective method for eliminating mosquitoes and their habitats and consequently reducing the disease burden due to malaria in the country. The universal healthcare system provided an effective base for the implementation of countrywide interventions <xref rid="pone.0031076-Zhang3" ref-type="bibr">[6]</xref>
.</p>
<p>As a result of the national public health campaigns to eliminate infectious disease vectors, forest encephalitis (also named Russian spring-summer encephalitis), tick-borne relapsing fever, tsutsugamushi disease (also known as scrub typhus) and epidemic typhus were reduced to very low levels by the late 1980s and were then no longer notifiable. The number of visceral leishmaniasis (also known as kala-azar), Japanese encephalitis, malaria and dengue fever epidemics has also decreased, with few cases per year (<xref ref-type="fig" rid="pone-0031076-g002">Figure 2d</xref>
). However, there are signs that climate change may have led to local outbreaks of some these vector-borne diseases in the past decade in China <xref rid="pone.0031076-Bi1" ref-type="bibr">[30]</xref>
.</p>
</sec>
<sec id="s3f"><title>Zoonotic infections</title>
<p>Rabies is one of the zoonotic diseases on the rise in China. During a 58-year period between 1950 and 2007, a total of 117,530 human rabies cases were reported, corresponding to an incidence rate of 9.1 cases per 100,000 population. Three major epidemics were observed <xref rid="pone.0031076-Zhang7" ref-type="bibr">[31]</xref>
, <xref rid="pone.0031076-Zhang8" ref-type="bibr">[32]</xref>
: the first occurred in the mid-1950s when the annual number of reported cases reached a peak of about 2,000. The epidemic subsided in the 1960s and then started to surge again in the early 1970s. After reaching a sustained peak from 1982 until the end of the decade, at a level of 5,000 to 6,000 cases per year <xref rid="pone.0031076-Meng1" ref-type="bibr">[33]</xref>
, in 1996 the number of cases was at its lowest, with 159 reported cases <xref rid="pone.0031076-Meng1" ref-type="bibr">[33]</xref>
. As the disease in humans is closely associated with transmission of rabies virus by infected dogs, in the past epidemics, strict policies for vaccination of owned dogs and elimination of stray dogs were put in place, resulting in effective control of the epidemic. However, since 2000, due to a new wave of rapid expansion of the pet dog population in urban China, there has been a third outbreak, in which the number of cases has increased rapidly: in 2007, the number of notified cases climbed to 3,250 <xref rid="pone.0031076-Si1" ref-type="bibr">[34]</xref>
, <xref rid="pone.0031076-Hu1" ref-type="bibr">[35]</xref>
. The rabies-related mortality rate increased during 1999 to 2008 by a mean of 26% (95% CI, 14–37%) per year (<xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
). This should serve as a call for action to prevent the further spread of rabies in China.</p>
<p>Severe acute respiratory syndrome (SARS), caused by a coronavirus that was transmitted to humans through close contact with civet cats, spread from Guangdong, China, quickly leading to a worldwide epidemic in 2003. China reported 5,327 (66%) of the 8,071 SARS cases globally and 349 SARS-related deaths during the epidemic, which lasted for approximately a year <xref rid="pone.0031076-Lam1" ref-type="bibr">[36]</xref>
.</p>
<p>The first human case of highly pathogenic avian influenza A (H5N1) virus infection was reported in Hong Kong in 1997. By 2009, mainland China had 88 avian influenza outbreaks among birds in 23 provinces and a total of 38 human cases and 25 deaths had been reported <xref rid="pone.0031076-WHO1" ref-type="bibr">[37]</xref>
. In 2010, the epidemic had spread to 15 countries and resulted in 296 deaths, out of 500 cases <xref rid="pone.0031076-Tarantola1" ref-type="bibr">[38]</xref>
. In comparison, the 2009 influenza A(H1N1) pandemic caused more than 154,000 human cases and 842 deaths in China alone <xref rid="pone.0031076-Flucountorg1" ref-type="bibr">[39]</xref>
, despite the virus being much less virulent than influenza A(H5N1) virus. China, with concentrated human activity in its fast-growing major cities that may lead to effective transmission of human-to-human transmission of H1N1, is very vulnerable to the transmission of respiratory infectious diseases of zoonotic origin. During the mid-to-late stages of the SARS outbreak and, more apparently throughout the course of the 2009 influenza pandemic, the Chinese Government responded swiftly with openness and transparency to control both diseases and prevent further episodes. In both cases, the epidemics caused widespread social panic. Instead of the Ministry of Health, the State Councils – representing the highest administrative authority of the Chinese Government – assumed direct leadership in combating the epidemics.</p>
<p>Case notifications for leptospirosis, anthrax and brucellosis have remained at low levels since 2000. There was an increase in the number of notified case of brucellosis from 0.17 per 100,000 population in 2000 to 1.50 per 100,000 population in 2007, but this was probably due to improved surveillance and is believed not to reflect an increase in incidence <xref rid="pone.0031076-Deqiu1" ref-type="bibr">[40]</xref>
. The annual number of notified cases of leptospriosis and anthrax dropped below 0.01 per 100,000 population in 2008. The mortality rate due to brucellosis remains very low and stable, whereas the rates due to leptospriosis and anthrax have dropped significantly, by 20% and 31%, respectively, during 1999 to 2008 (<xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
).</p>
</sec>
<sec id="s3g"><title>Bacterial infections</title>
<p>China has the second largest TB epidemic in the world (after India) <xref rid="pone.0031076-World1" ref-type="bibr">[41]</xref>
. In 2008, some 4,500,000 patients were living with pulmonary TB in China, corresponding to an incidence of 111 per 100,000 population, and resulting in 130,000 deaths from TB in the same year <xref rid="pone.0031076-Jiang1" ref-type="bibr">[42]</xref>
. Since 2005, an estimated 20,000 additional TB reactivation cases have arisen per annum in China due to human immunodeficiency (HIV) coinfection <xref rid="pone.0031076-Jiang1" ref-type="bibr">[42]</xref>
.</p>
<p>The TB epidemic has spread unevenly in China: in 2005, China reported a national TB prevalence of 0.2% <xref rid="pone.0031076-World1" ref-type="bibr">[41]</xref>
, whereas the southern province of Guangxi, which borders Vietnam, reported a much higher prevalence of 0.65% <xref rid="pone.0031076-Dong1" ref-type="bibr">[43]</xref>
. In 1991, in adopting DOTS – the internationally recommended TB control strategy – China launched a 10-year infectious and endemic disease control project in an effort to curb its expanding TB epidemic in 13 of its 31 provinces <xref rid="pone.0031076-Squire1" ref-type="bibr">[44]</xref>
, <xref rid="pone.0031076-Chen1" ref-type="bibr">[45]</xref>
. It is estimated that the number of Chinese people infected with TB between 1990 and 2000 decreased by 30% and that 300,000 TB deaths were averted. With a success rate greater than 90% <xref rid="pone.0031076-Chen1" ref-type="bibr">[45]</xref>
, DOTS has led to the avoidance of an estimated 1.5 million TB cases <xref rid="pone.0031076-Squire1" ref-type="bibr">[44]</xref>
, <xref rid="pone.0031076-Chen1" ref-type="bibr">[45]</xref>
. However, since 2000, multidrug-resistant (MDR) TB and extensively drug-resistant (XDR) TB have emerged as a severe public health issue in the country. In 2004, China reported approximately 140,000 MDR TB cases, accounting for about one third of the estimated global burden of MDR TB <xref rid="pone.0031076-Zignol1" ref-type="bibr">[46]</xref>
. In some provinces, the proportion of MDR TB among newly notified TB cases and previously treated cases was found to exceed 10% and 30%, respectively <xref rid="pone.0031076-Aziz1" ref-type="bibr">[47]</xref>
. The latest study indicates that the prevalence of MDR TB among TB patients is as high as 19.4%, and 14.9% of MDR TB cases were XDR during 2007 to 2009 <xref rid="pone.0031076-Wang2" ref-type="bibr">[48]</xref>
. The mortality due to TB increased at a rate of 28% (95% CI, 14–43%) per year.</p>
<p>Hydroelectric projects that led to the formation of a large number of dams in China, as well as climate change, have substantially increased the risk of schistosomiasis occurring and its spread to non-endemic areas of the country, leading to small-scale outbreaks and increases in rates of case notifications near the affected areas <xref rid="pone.0031076-Zhou1" ref-type="bibr">[49]</xref>
, <xref rid="pone.0031076-Yang4" ref-type="bibr">[50]</xref>
. The incidence of schistosomiasis has increased from 0.10 cases per 100,000 population in 2004 to 0.26 per 100,000 population in 2008 (<xref ref-type="fig" rid="pone-0031076-g002">Figure 2f</xref>
).</p>
</sec>
<sec id="s3h"><title>HIV and other sexually transmitted infections</title>
<p>Since the founding of China in 1949, laws have been enacted to make commercial sex illegal. Brothels were closed down and sex workers were sent to camps to be ‘re-educated’. Special institutions for treatment of sexually transmitted infections (STIs), at the time mostly syphilis, gonorrhoea and Chlamydia, were established for the training of medical personnel, who were then sent to areas previously associated with large sex industries to treat STIs at beginning of 1950s. During 1950s, a universal healthcare system was established that provides treatment for STI patients free of charge. Designated laboratories for STIs were built for diagnosis and research <xref rid="pone.0031076-Chen2" ref-type="bibr">[51]</xref>
. More importantly, population-based health education campaigns about STIs were carried out, and detection and treatment of STIs were portrayed as patriotic actions <xref rid="pone.0031076-Wang3" ref-type="bibr">[52]</xref>
. As a result, the number of cases of notifiable STIs decreased from 10 million in 1950 to reportedly eliminated from 1964 <xref rid="pone.0031076-Chen2" ref-type="bibr">[51]</xref>
, <xref rid="pone.0031076-Cohen1" ref-type="bibr">[53]</xref>
, <xref rid="pone.0031076-Zeng1" ref-type="bibr">[54]</xref>
. However, notifiable STIs have re-emerged, leading to a fast-spreading epidemic in the country. In 1987, the incidence for STIs was 6.64 per 100,000 population and in 1996, the rate increased to 34.6 per 100,000 population, which corresponded to 1.8 million new STI cases <xref rid="pone.0031076-Wang3" ref-type="bibr">[52]</xref>
. The annual growth rate of the number of STI cases in China exceeds 20% <xref rid="pone.0031076-Wang3" ref-type="bibr">[52]</xref>
. The rise of STI incidence is mainly due to unprotected sexual acts and other high-risk behaviours <xref rid="pone.0031076-Ruan1" ref-type="bibr">[55]</xref>
, <xref rid="pone.0031076-Beyrer1" ref-type="bibr">[56]</xref>
.</p>
<p>Since early 1980s, underground prostitution has again become rampant in major cities in China <xref rid="pone.0031076-Pirkle1" ref-type="bibr">[57]</xref>
. The number of Chinese men, increased purchasing power of urban residents and trends away from traditional Chinese family values of fidelity all led to an increased number of male clients for commercial sexual services <xref rid="pone.0031076-Tucker1" ref-type="bibr">[58]</xref>
. In addition, lack of sexual health knowledge among commercial sex workers and their inability to effectively negotiate condom use during sexual acts substantially increased the risk of STI transmission <xref rid="pone.0031076-Pirkle1" ref-type="bibr">[57]</xref>
, <xref rid="pone.0031076-Liu2" ref-type="bibr">[59]</xref>
. The previously hidden population of men who have sex men (MSM) is becoming more overt due to increasing acceptance in society. High-risk sexual behaviours, including a low percentage of condom use, in this population is also contributing to the fast transmission of STIs <xref rid="pone.0031076-Zhang9" ref-type="bibr">[60]</xref>
. For example, in 1998, the incidence of syphilis in China was 0.17 per 100,000 population: it increased 20-fold to 4.31 cases per 100,000 population in 2002 and further to 15.88 cases per 100,000 population in 2007 <xref rid="pone.0031076-Chinese1" ref-type="bibr">[10]</xref>
, <xref rid="pone.0031076-Chen2" ref-type="bibr">[51]</xref>
(<xref ref-type="fig" rid="pone-0031076-g002">Figure 2g</xref>
). In particular, MSM, injecting drug users (IDUs) and female sex workers have the highest syphilis prevalence in China, of 10–20% <xref rid="pone.0031076-Choi1" ref-type="bibr">[61]</xref>
, <xref rid="pone.0031076-Ruan2" ref-type="bibr">[62]</xref>
, 5.4% <xref rid="pone.0031076-Aldinger1" ref-type="bibr">[63]</xref>
and 7–12% <xref rid="pone.0031076-Fang3" ref-type="bibr">[64]</xref>
, respectively.</p>
<p>The first case of acquired immunodeficiency syndrome (AIDS) in China was reported in 1985, but a local HIV epidemic was not detected until 1989 when a cluster of infections was diagnosed among IDUs in Yunnan province <xref rid="pone.0031076-Zhang10" ref-type="bibr">[65]</xref>
. Before 2000, China had fewer than 20,000 reported HIV/AIDS cases, but in 2007, the number rose to 200,000. The latest estimates are that 700,000 people were living with HIV/AIDS in China at the end of 2007, with 70,000 new infections added every year since then <xref rid="pone.0031076-State1" ref-type="bibr">[66]</xref>
and 20,000–30,000 annual AIDS-related deaths <xref rid="pone.0031076-Cunningham1" ref-type="bibr">[67]</xref>
. Although the HIV/AIDS epidemic first began and predominated among IDUs, it rapidly spread to other population groups through both heterosexual and homosexual transmission. The latest figures demonstrate that heterosexual transmission has accounted for approximately 38–50% of new HIV infections since 2005 <xref rid="pone.0031076-He1" ref-type="bibr">[68]</xref>
, which may level at or exceed the percentage (30–49%) caused by transmission due to the sharing of injection equipment among IDUs <xref rid="pone.0031076-HIVAIDS1" ref-type="bibr">[69]</xref>
, <xref rid="pone.0031076-Kretzschmar1" ref-type="bibr">[70]</xref>
. Notably, HIV infection has become more prevalent among MSM, as male homosexual activities account for approximately 10% of new infections <xref rid="pone.0031076-State2" ref-type="bibr">[71]</xref>
. AIDS mortality rate increased from 0.10 in 1999 to 1.01 cases per million in 2005, then to 4.58 cases per million in 2008, corresponding to an annual growth rate of 44% (95% CI, 30–58%) the rate is expected to increase sharply if the epidemic remains uncontrolled and there is no large procurement of antiretroviral drugs. Cumulatively, over 9000 infants were infected through mother-to-child transmission by 2005 and it was estimated that about 500 million Chinese were carriers of <italic>Mycobacterium tuberculosis</italic>
in 2003 <xref rid="pone.0031076-Miao1" ref-type="bibr">[72]</xref>
: coinfection of HIV and <italic>M. tuberculosis</italic>
could therefore have a large epidemiological impact, in the absence of appropriate public health interventions.</p>
</sec>
<sec id="s3i"><title>Viral hepatitis</title>
<p>Viral hepatitis is prevalent in China, but the prevalence differs according to the type of virus. Before the 1990s, hepatitis A virus (HAV) was the most prevalent. In the early 1990s, the annual number of reported HAV diagnoses was more than 50 per 100,000 population. This dropped by 90% to 5 per 100,000 population in 2005 to 2006 <xref rid="pone.0031076-Xu1" ref-type="bibr">[73]</xref>
(<xref ref-type="fig" rid="pone-0031076-g002">Figure 2h</xref>
). The mean annual death rate due to HAV decreased at a rate of 21% (95% CI, 8–32%) during 1999 to 2008 (<xref ref-type="table" rid="pone-0031076-t002">Table 2</xref>
). The decrease is probably a result of mass vaccination efforts in introducing the HAV vaccine (H2 strain) in the 1990s and improvement of hygiene and sanitary conditions that broke the cycle of food and water contamination <xref rid="pone.0031076-Xu1" ref-type="bibr">[73]</xref>
. According to 2008 data <xref rid="pone.0031076-Lu1" ref-type="bibr">[74]</xref>
, HAV persists at low, endemic levels (<xref ref-type="fig" rid="pone-0031076-g002">Figure 2h</xref>
). In comparison, infections of hepatitis B virus (HBV), which is transmitted mainly through body fluid from mother to child, and hepatitis C virus (HCV), transmitted predominantly by intravenous injections or blood transfusion, are becoming alarmingly widespread in China. The annual number of new HBV cases increased rapidly from 20 per 100,000 population in 1990 and reached 100 per 100,000 population in 2008, despite an increasing vaccination coverage of newborns from 30% in 1992 to 93.4% in 2005 <xref rid="pone.0031076-Liang1" ref-type="bibr">[75]</xref>
. HCV infections followed a similar trend and in 2007, the annual notification rate was about 8.8 per 100,000 population. The 2007 HCV and HBV prevalence among the general population was 0.5% and 6%, respectively <xref rid="pone.0031076-Lu1" ref-type="bibr">[74]</xref>
. Mortality due to HBV and HCV increased at annual rates 9% (95% CI, 1–20%) and 30% (16–46%) respectively.</p>
<p>In contrast to HAV infection, which always causes acute hepatitis but never develops into a chronic condition, HCV and HBV infections often cause chronic hepatitis and may develop into cirrhosis and hepatocellular carcinoma <xref rid="pone.0031076-Purcell1" ref-type="bibr">[76]</xref>
. Coinfection of HBV or HCV with other pathogens causing chronic infections, such as HIV, results in substantial increases in the disease burden on individuals, accelerates disease progression and complicates treatment <xref rid="pone.0031076-Tedaldi1" ref-type="bibr">[77]</xref>
, <xref rid="pone.0031076-Soriano1" ref-type="bibr">[78]</xref>
. Since HBV and HCV can both be transmitted through exchange of body fluids, coinfection of these hepatitis viruses with HIV is common in at-risk groups in China. Approximately 67–71% of the 700,000 registered IDUs in China are infected with HCV <xref rid="pone.0031076-Ruan3" ref-type="bibr">[79]</xref>
, <xref rid="pone.0031076-Bao1" ref-type="bibr">[80]</xref>
, <xref rid="pone.0031076-Bao2" ref-type="bibr">[81]</xref>
and 17–26% of them are infected with HBV <xref rid="pone.0031076-Ruan3" ref-type="bibr">[79]</xref>
, <xref rid="pone.0031076-Wu1" ref-type="bibr">[82]</xref>
. The prevalence of HIV/HCV coinfection is 6.45% in IDUs <xref rid="pone.0031076-Bao1" ref-type="bibr">[80]</xref>
. Among blood donors, the prevalence of HIV/HCV coinfection is 5.8–6.5% <xref rid="pone.0031076-Bao1" ref-type="bibr">[80]</xref>
, <xref rid="pone.0031076-Qian2" ref-type="bibr">[83]</xref>
, whereas the figure for HIV/HBV coinfection is 3.7% <xref rid="pone.0031076-Xu2" ref-type="bibr">[84]</xref>
. In comparison, coinfection of HIV and HCV among the general population remains unknown as there is currently no reports on its prevalence. However, coinfection is expected to be increasingly noticeable as the HIV epidemic transforms into a generalised epidemic in China <xref rid="pone.0031076-Zhang3" ref-type="bibr">[6]</xref>
.</p>
</sec>
<sec id="s3j"><title>Implications of disease surveillance and interventions in China</title>
<p>Overall, this study investigated the temporal trends of major types of notifiable infectious diseases in China. Our analysis indicated that while the morbidity and mortality of most infectious diseases reduced substantially during 1975–1995, there is an increasing trend of re-emergence of previously prevalent diseases and emergence of new infectious diseases since 1995, in particular, STIs and HIV, viral hepatitis and zoonoses diseases. These diseases accounted for the majority of deaths associated with infectious diseases in China since 2005. Consistent with this, analysis of case fatality rates indicated a higher percentage of deaths among zoonotically infected people (5–15%) and an elevated proportion (0.894%) among STIs and HIV-infected individuals. Our study has important implications for the surveillance and control of infectious diseases in China. First, the persistent small outbreaks of particular infectious diseases across the country indicate that any decrease in prevention efforts will probably trigger re-emergence of the diseases. Surveillance activities are therefore essential to inform and prioritise public health responses. Although efficient and well-developed disease surveillance systems have been implemented in many urban areas, hygiene conditions, health services and monitoring of patterns of spread and disease burden are largely lacking in rural China <xref rid="pone.0031076-Zhang3" ref-type="bibr">[6]</xref>
.</p>
<p>Second, the rapid rise in the number of notified cases of STIs, especially HIV infection, and viral hepatitis in China is associated with growth of the sex industry, increasingly frequent risky sexual behaviours and an increasing number of sexual partners in the general Chinese population. The newly implemented internet-based National Infectious Diseases Monitoring Information System Database not only provides a platform for integrating epidemiological data on HIV infection and other STIs, but also initiated second-generation behavioural surveillance of the at-risk populations <xref rid="pone.0031076-Kretzschmar1" ref-type="bibr">[70]</xref>
. Our analysis indicates that both epidemiological and behavioural surveillance of HIV infection and other STIs is essential to understand and forecast the trends in these epidemics. Extending surveillance efforts into population groups that were previously considered to be less at risk may further improve the quality and reliability of surveillance data.</p>
<p>Third, coinfections, especially those involving HIV, are likely to become major public health issues in the future. We demonstrate that TB/HIV, HBV/HIV and HCV/HIV coinfections have become increasingly prevalent in China and the trend is likely to continue in the absence of strong public health interventions. Thus, inclusion of testing for TB and viral hepatitis coinfections as part of HIV voluntary counselling and testing could be useful among at-risk populations. Scaling up of free-of-charge antiretroviral therapy should also include treatment for these coinfections.</p>
<p>Fourth, surveillance of zoonotic infections becomes increasingly important due to the interactions between humans and animals in China. China has established an efficient surveillance system for human infectious diseases <xref rid="pone.0031076-Zhang3" ref-type="bibr">[6]</xref>
, <xref rid="pone.0031076-Wang4" ref-type="bibr">[85]</xref>
: a parallel national centralised system for surveillance of disease in animals may be useful for reducing the risk of animal-to-human transmission.</p>
<p>One of the potential limitations in our investigation may be poor data quality in the passive notification-based surveillance system. It is widely perceived that underreporting exists in the Chinese infectious diseases surveillance system, but little is known about the extent of underreporting as systematic evaluations have never been conducted <xref rid="pone.0031076-Zhang3" ref-type="bibr">[6]</xref>
. This issue requires further consideration in the future. An overview of prevalence studies would be useful for comparison with numbers of notified cases in order to estimate numbers of undiagnosed cases. A comprehensive evaluation would also involve assessments of the efficiency and effectiveness of the surveillance system, both quantitative and qualitative. Understanding changes in testing rates in various population groups will also be useful for interpreting trends in notification data. But such investigations are beyond the scope of this review.</p>
</sec>
<sec id="s3k"><title>Future challenges</title>
<p>Infectious disease surveillance and interventions in China face several major challenges. The country's major economic reform in 1979 has created a large economic disparity between rural and urban areas, resulting in a large population of floating immigrants (also known as ‘peasant workers’). This accounts for 10% of the total Chinese population in 2005 <xref rid="pone.0031076-Dong2" ref-type="bibr">[86]</xref>
. The vast majority of these immigrants are from rural environments but work in urban areas, away from their families, and hence regularly travel between the two sites. In addition to the natural population growth of major cities, the inflow of internal immigrants substantially increases the population size and density in urban areas. These immigrants often live in overcrowded residential areas with compromised hygiene conditions. Female immigrants often become targets of those seeking to recruit them for commercial sex work <xref rid="pone.0031076-Pirkle1" ref-type="bibr">[57]</xref>
, <xref rid="pone.0031076-Biao1" ref-type="bibr">[87]</xref>
. These floating immigrants are often more disadvantageous than the local residents. They tend to be less educated compared with others in urban areas who have permanent resident status and less likely to seek medical treatment when sick due to financial constraints or lack of health insurance <xref rid="pone.0031076-Zhang3" ref-type="bibr">[6]</xref>
. Not surprisingly, the population of floating immigrants has been found to be more vulnerable to infectious diseases, especially STIs, HIV and viral hepatitis <xref rid="pone.0031076-Zhang3" ref-type="bibr">[6]</xref>
. Additionally, their high-risk behaviours and mobility promotes transmission of infectious disease agents and creates a major challenge for disease detection and control. Given the characteristics, behaviours and the increasing population size of floating immigrants, it becomes apparent that the capacity of current Chinese healthcare system cannot meet the needs of both the surveillance activities and health problems of these migrant workers. The infectious disease surveillance system needs to be tailored for its high mobility, and a dramatic expansion of the private health sector is required to address the health needs of this population.</p>
<p>Transmission of zoonotic infectious agents relies on close interaction between infected animals and humans. As a result of the increasing social trend of keeping house pet dogs, it is estimated that the number of pet dogs in China reached 80–200 million in 2004 <xref rid="pone.0031076-Tang1" ref-type="bibr">[88]</xref>
. However, only 30% of dog owners register their animals with government authorities and only 2–8% of dogs are vaccinated against rabies <xref rid="pone.0031076-Zhang7" ref-type="bibr">[31]</xref>
, <xref rid="pone.0031076-Hu2" ref-type="bibr">[89]</xref>
– coverage of greater than 70% is needed to sufficiently control rabies, as determined by the World Health Organization (WHO) <xref rid="pone.0031076-World2" ref-type="bibr">[90]</xref>
. The high rabies prevalence (6.4%) among dogs and the expanding number of pet dogs pose a continual and increasing threat of transmission of rabies virus from dogs to humans in China <xref rid="pone.0031076-Hu2" ref-type="bibr">[89]</xref>
. In addition, the consumption of game meat, especially in southern China, is one of the important sources of zoonotic diseases <xref rid="pone.0031076-vandenBerg1" ref-type="bibr">[91]</xref>
. Markets in Guangdong provinces sell live poultry, fish, reptiles and mammals, including dogs and civet cats, for food <xref rid="pone.0031076-Peiris1" ref-type="bibr">[92]</xref>
: the housing of these live animals, often in packed conditions, together with human activities, makes such markets the ideal hub for cross-species transmission of zoonotic agents <xref rid="pone.0031076-vandenBerg1" ref-type="bibr">[91]</xref>
. Since there is no systematic surveillance of these live markets, it is difficult to estimate the number of such markets and the amount of game meat consumed by residents in southern China. The SARS epidemic in 2003 demonstrates that transmission of pathogens originally associated with animals can cause worldwide outbreaks in human populations. The current absence of both epidemiological and behavioural data, including their frequency of contacts and means of animal handling, on animal infectious diseases is a strong barrier to effective surveillance and control.</p>
<p>Environmental changes facilitate the emergence and transmission of bacterial infections. The formation of a large number of dams in China, as a result of the increasing implementation of hydroelectric projects, have substantially increased the risk of schistosomiasis emergence and its spread to non-endemic areas of the country. Further, the dense population conditions in urban China and the high mobility of its floating migrants substantially promote the rapid transmission of tuberculosis <xref rid="pone.0031076-Liu3" ref-type="bibr">[93]</xref>
. Strengthening infectious diseases surveillance for bacterial infections among these specific affected populations should be a priority for the Chinese government.</p>
</sec>
</sec>
</body>
<back><fn-group><fn fn-type="COI-statement"><p><bold>Competing Interests: </bold>
The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="financial-disclosure"><p><bold>Funding: </bold>
This study was funded from the following sources: the Australian Government Department of Health and Ageing; Australian Research Council (FT0991990); the University of New South Wales. The views expressed in this publication do not necessarily represent the position of the Australian Government. The Kirby Institute is affiliated with the Faculty of Medicine, University of New South Wales. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</fn>
</fn-group>
<ref-list><title>References</title>
<ref id="pone.0031076-Ci1"><label>1</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ci</surname>
<given-names>W</given-names>
</name>
</person-group>
<year>2000</year>
<article-title>Establishment and amelioration of planned immunization in China.</article-title>
<source>China Journal of Preventive Medicine</source>
<volume>34</volume>
<fpage>67</fpage>
<lpage>68</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang1"><label>2</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>S</given-names>
</name>
<name><surname>Liu</surname>
<given-names>Z</given-names>
</name>
<name><surname>Gu</surname>
<given-names>Z</given-names>
</name>
</person-group>
<year>2002</year>
<article-title>Disease Control and Prevention in China in the 20th Century and Prospects for the New Millennium.</article-title>
<source>Enviromental Health and Preventive Medicine</source>
<volume>7</volume>
<fpage>132</fpage>
<lpage>137</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang2"><label>3</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>S</given-names>
</name>
</person-group>
<year>2001</year>
<article-title>Study on the strategy for Shanghai Disease control and prevention.</article-title>
<source>ShanghHai Journal of Preventive Medicine</source>
<volume>12</volume>
<fpage>253</fpage>
<lpage>256</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Liu1"><label>4</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname>
<given-names>D</given-names>
</name>
<name><surname>Wang</surname>
<given-names>X</given-names>
</name>
<name><surname>Pan</surname>
<given-names>F</given-names>
</name>
<name><surname>Xu</surname>
<given-names>Y</given-names>
</name>
<name><surname>Yang</surname>
<given-names>P</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Web-based infectious disease reporting using XML forms.</article-title>
<source>Int J Med Inform</source>
<volume>77</volume>
<fpage>630</fpage>
<lpage>640</lpage>
<pub-id pub-id-type="pmid">18060833</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Ministry1"><label>5</label>
<element-citation publication-type="book"><collab>Ministry of Health</collab>
<year>2006</year>
<source>2006 Yearbook of Chinese Health Statistics</source>
<publisher-loc>Beijing</publisher-loc>
<publisher-name>Chinese Academy of Medical Sciences and Peking Union Medical College Press</publisher-name>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang3"><label>6</label>
<element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>L</given-names>
</name>
</person-group>
<year>2009</year>
<source>Building a Better Infectious Disease Surveillance System for China: An evaluation from a political perspective</source>
<publisher-loc>Berlin</publisher-loc>
<publisher-name>VDM Verlag</publisher-name>
</element-citation>
</ref>
<ref id="pone.0031076-Li1"><label>7</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname>
<given-names>B</given-names>
</name>
</person-group>
<year>2006</year>
<article-title>The functionality and developmental strategy of PLA CDC in current situation.</article-title>
<source>Journal of Southeast China National Defence Medical Science</source>
<volume>8</volume>
<fpage>395</fpage>
<lpage>396</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-China1"><label>8</label>
<element-citation publication-type="other"><person-group person-group-type="author"><name><surname>China</surname>
<given-names>CDC</given-names>
</name>
</person-group>
<year>2006</year>
<comment>Information Release Guidelines for Infectious Diseases Epidemic and Public Health Contigencies</comment>
</element-citation>
</ref>
<ref id="pone.0031076-National1"><label>9</label>
<element-citation publication-type="book"><collab>National Bureau of Statistics of China</collab>
<year>2010</year>
<source>2010 Yearbook of Chinese Health Statistics</source>
<publisher-loc>Beijing</publisher-loc>
<publisher-name>National Bureau of Statistics of China</publisher-name>
</element-citation>
</ref>
<ref id="pone.0031076-Chinese1"><label>10</label>
<element-citation publication-type="book"><collab>Chinese Ministry of Health</collab>
<year>2008</year>
<source>Chinese Health Year Book 2008</source>
<publisher-loc>Beijing</publisher-loc>
<publisher-name>Ministry of Health</publisher-name>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang4"><label>11</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>C-h</given-names>
</name>
</person-group>
<year>2009</year>
<article-title>Plague and the control strategies in China.</article-title>
<source>Foreign Medical Science Section of Medgeography</source>
<volume>30</volume>
<fpage>104</fpage>
<lpage>108</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Cong1"><label>12</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cong</surname>
<given-names>X</given-names>
</name>
<name><surname>Xu</surname>
<given-names>C</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>G</given-names>
</name>
</person-group>
<year>2006</year>
<article-title>The current plague epidemic in China.</article-title>
<source>Chinese Journal of Control of Endemic Diseases</source>
<volume>21</volume>
<fpage>159</fpage>
<lpage>164</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Guan1"><label>13</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guan</surname>
<given-names>P</given-names>
</name>
<name><surname>Huang</surname>
<given-names>D</given-names>
</name>
<name><surname>He</surname>
<given-names>M</given-names>
</name>
<name><surname>Shen</surname>
<given-names>T</given-names>
</name>
<name><surname>Guo</surname>
<given-names>J</given-names>
</name>
<etal></etal>
</person-group>
<year>2009</year>
<article-title>Investigating the effects of climatic variables and reservoir on the incidence of hemorrhagic fever with renal syndrome in Huludao City, China: a 17-year data analysis based on structure equation model.</article-title>
<source>BMC Infect Dis</source>
<volume>9</volume>
<fpage>109</fpage>
<pub-id pub-id-type="pmid">19583875</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Fang1"><label>14</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fang</surname>
<given-names>LQ</given-names>
</name>
<name><surname>Zhao</surname>
<given-names>WJ</given-names>
</name>
<name><surname>de Vlas</surname>
<given-names>SJ</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>WY</given-names>
</name>
<name><surname>Liang</surname>
<given-names>S</given-names>
</name>
<etal></etal>
</person-group>
<year>2009</year>
<article-title>Spatiotemporal dynamics of hemorrhagic fever with renal syndrome, Beijing, People's Republic of China.</article-title>
<source>Emerg Infect Dis</source>
<volume>15</volume>
<fpage>2043</fpage>
<lpage>2045</lpage>
<pub-id pub-id-type="pmid">19961697</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Fang2"><label>15</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fang</surname>
<given-names>L</given-names>
</name>
<name><surname>Yan</surname>
<given-names>L</given-names>
</name>
<name><surname>Liang</surname>
<given-names>S</given-names>
</name>
<name><surname>de Vlas</surname>
<given-names>SJ</given-names>
</name>
<name><surname>Feng</surname>
<given-names>D</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Spatial analysis of hemorrhagic fever with renal syndrome in China.</article-title>
<source>BMC Infect Dis</source>
<volume>6</volume>
<fpage>77</fpage>
<pub-id pub-id-type="pmid">16638156</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Ze1"><label>16</label>
<element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Ze</surname>
<given-names>W</given-names>
</name>
</person-group>
<year>2001</year>
<source>Expanded program on immunization</source>
<publisher-loc>Shanghai</publisher-loc>
<publisher-name>Shanghai Publishing House of Scientific and Technological Literature</publisher-name>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang5"><label>17</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<name><surname>Zhu</surname>
<given-names>Z</given-names>
</name>
<name><surname>Rota</surname>
<given-names>PA</given-names>
</name>
<name><surname>Jiang</surname>
<given-names>X</given-names>
</name>
<name><surname>Hu</surname>
<given-names>J</given-names>
</name>
<etal></etal>
</person-group>
<year>2007</year>
<article-title>Molecular epidemiology of measles viruses in China, 1995–2003.</article-title>
<source>Virol J</source>
<volume>4</volume>
<fpage>14</fpage>
<pub-id pub-id-type="pmid">17280609</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang6"><label>18</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<name><surname>Ji</surname>
<given-names>Y</given-names>
</name>
<name><surname>Jiang</surname>
<given-names>X</given-names>
</name>
<name><surname>Xu</surname>
<given-names>S</given-names>
</name>
<name><surname>Zhu</surname>
<given-names>Z</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Genetic characterization of measles viruses in China, 2004.</article-title>
<source>Virol J</source>
<volume>5</volume>
<fpage>120</fpage>
<pub-id pub-id-type="pmid">18928575</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Lixia1"><label>19</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lixia</surname>
<given-names>W</given-names>
</name>
<name><surname>Guang</surname>
<given-names>Z</given-names>
</name>
<name><surname>Lee</surname>
<given-names>LA</given-names>
</name>
<name><surname>Zhiwei</surname>
<given-names>Y</given-names>
</name>
<name><surname>Jingjin</surname>
<given-names>Y</given-names>
</name>
<etal></etal>
</person-group>
<year>2003</year>
<article-title>Progress in accelerated measles control in the People's Republic of China, 1991–2000.</article-title>
<source>J Infect Dis</source>
<volume>15</volume>
<fpage>S252</fpage>
<lpage>257</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Fine1"><label>20</label>
<element-citation publication-type="journal"><year>2009</year>
<article-title>Fine PE Polio: measuring the protection that matters most.</article-title>
<source>J Infect Dis</source>
<volume>2009 Sep 1;200</volume>
<issue>5</issue>
<fpage>673</fpage>
<lpage>5</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Wang1"><label>21</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname>
<given-names>K</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>LB</given-names>
</name>
<name><surname>Otten</surname>
<given-names>MW</given-names>
<suffix>Jr</suffix>
</name>
<name><surname>Zhang</surname>
<given-names>XL</given-names>
</name>
<name><surname>Yasuo</surname>
<given-names>C</given-names>
</name>
<etal></etal>
</person-group>
<year>1997</year>
<article-title>Status of the eradication of indigenous wild poliomyelitis in the People's Republic of China.</article-title>
<source>J Infect Dis</source>
<volume>175</volume>
<issue>Suppl 1</issue>
<fpage>S105</fpage>
<lpage>112</lpage>
<pub-id pub-id-type="pmid">9203701</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Yang1"><label>22</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname>
<given-names>B</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>J</given-names>
</name>
<name><surname>Otten</surname>
<given-names>MW</given-names>
<suffix>Jr</suffix>
</name>
<name><surname>Kusumoto</surname>
<given-names>K</given-names>
</name>
<name><surname>Jiang</surname>
<given-names>T</given-names>
</name>
<etal></etal>
</person-group>
<year>1995</year>
<article-title>Eradication of poliomyelitis: progress in the People's Republic of China.</article-title>
<source>Pediatr Infect Dis J</source>
<volume>14</volume>
<fpage>308</fpage>
<lpage>314</lpage>
<pub-id pub-id-type="pmid">7603813</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Chiba1"><label>23</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chiba</surname>
<given-names>Y</given-names>
</name>
<name><surname>Hikita</surname>
<given-names>K</given-names>
</name>
<name><surname>Matuba</surname>
<given-names>T</given-names>
</name>
<name><surname>Chosa</surname>
<given-names>T</given-names>
</name>
<name><surname>Kyogoku</surname>
<given-names>S</given-names>
</name>
<etal></etal>
</person-group>
<year>2001</year>
<article-title>Active surveillance for acute flaccid paralysis in poliomyelitis high-risk areas in southern China.</article-title>
<source>Bull World Health Organ</source>
<volume>79</volume>
<fpage>103</fpage>
<lpage>110</lpage>
<pub-id pub-id-type="pmid">11242816</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Zhao1"><label>24</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname>
<given-names>ZY</given-names>
</name>
</person-group>
<year>2009</year>
<article-title>Chinese child health care in 60 years.</article-title>
<source>Chin Med J (Engl)</source>
<volume>122</volume>
<fpage>2241</fpage>
<lpage>2244</lpage>
<pub-id pub-id-type="pmid">20079119</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Yu1"><label>25</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname>
<given-names>WL</given-names>
</name>
</person-group>
<year>1989</year>
<article-title>Survey on the prevention and treatment of diarrhea in parts of China.</article-title>
<source>Chinese Journal of Epidemiology</source>
<volume>10</volume>
<fpage>257</fpage>
<lpage>260</lpage>
<pub-id pub-id-type="pmid">2611865</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Tu1"><label>26</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tu</surname>
<given-names>G</given-names>
</name>
<name><surname>Chui</surname>
<given-names>C</given-names>
</name>
<name><surname>Wang</surname>
<given-names>J</given-names>
</name>
<name><surname>Fu</surname>
<given-names>B</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>WP</given-names>
</name>
<etal></etal>
</person-group>
<year>1999</year>
<article-title>Double-blind field trial of oral live F 2a-Sonnie (FS) dysentery vaccine.</article-title>
<source>Cninese Journal of Biologicals</source>
<volume>1999</volume>
</element-citation>
</ref>
<ref id="pone.0031076-Yang2"><label>27</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname>
<given-names>HH</given-names>
</name>
<name><surname>Wu</surname>
<given-names>CG</given-names>
</name>
<name><surname>Xie</surname>
<given-names>GZ</given-names>
</name>
<name><surname>Gu</surname>
<given-names>QW</given-names>
</name>
<name><surname>Wang</surname>
<given-names>BR</given-names>
</name>
<etal></etal>
</person-group>
<year>2001</year>
<article-title>Efficacy trial of Vi polysaccharide vaccine against typhoid fever in south-western China.</article-title>
<source>Bull World Health Organ</source>
<volume>79</volume>
<fpage>625</fpage>
<lpage>631</lpage>
<pub-id pub-id-type="pmid">11477965</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Yang3"><label>28</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname>
<given-names>HH</given-names>
</name>
<name><surname>Kilgore</surname>
<given-names>PE</given-names>
</name>
<name><surname>Yang</surname>
<given-names>LH</given-names>
</name>
<name><surname>Park</surname>
<given-names>JK</given-names>
</name>
<name><surname>Pan</surname>
<given-names>YF</given-names>
</name>
<etal></etal>
</person-group>
<year>2001</year>
<article-title>An outbreak of typhoid fever, Xing-An County, People's Republic of China, 1999: estimation of the field effectiveness of Vi polysaccharide typhoid vaccine.</article-title>
<source>J Infect Dis</source>
<volume>183</volume>
<fpage>1775</fpage>
<lpage>1780</lpage>
<pub-id pub-id-type="pmid">11372030</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Qian1"><label>29</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qian</surname>
<given-names>H</given-names>
</name>
<name><surname>Tand</surname>
<given-names>L</given-names>
</name>
</person-group>
<year>2000</year>
<article-title>Prevention and control of malaria in China, in last 50 years.</article-title>
<source>Chinese Journal of Endemiology</source>
<volume>21</volume>
<fpage>225</fpage>
<lpage>227</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Bi1"><label>30</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bi</surname>
<given-names>P</given-names>
</name>
<name><surname>Parton</surname>
<given-names>KA</given-names>
</name>
<name><surname>Tong</surname>
<given-names>S</given-names>
</name>
</person-group>
<year>2005</year>
<article-title>El Nino-Southern Oscillation and vector-borne diseases in Anhui, China.</article-title>
<source>Vector Borne Zoonotic Dis</source>
<volume>5</volume>
<fpage>95</fpage>
<lpage>100</lpage>
<pub-id pub-id-type="pmid">16011424</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang7"><label>31</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>YZ</given-names>
</name>
<name><surname>Xiong</surname>
<given-names>CL</given-names>
</name>
<name><surname>Xiao</surname>
<given-names>DL</given-names>
</name>
<name><surname>Jiang</surname>
<given-names>RJ</given-names>
</name>
<name><surname>Wang</surname>
<given-names>ZX</given-names>
</name>
<etal></etal>
</person-group>
<year>2005</year>
<article-title>Human rabies in China.</article-title>
<source>Emerg Infect Dis</source>
<volume>11</volume>
<fpage>1983</fpage>
<lpage>1984</lpage>
<pub-id pub-id-type="pmid">16485502</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang8"><label>32</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>YZ</given-names>
</name>
<name><surname>Xiong</surname>
<given-names>CL</given-names>
</name>
<name><surname>Zou</surname>
<given-names>Y</given-names>
</name>
<name><surname>Wang</surname>
<given-names>DM</given-names>
</name>
<name><surname>Jiang</surname>
<given-names>RJ</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Molecular characterization of rabies virus isolates in China during 2004.</article-title>
<source>Virus Res</source>
<volume>121</volume>
<fpage>179</fpage>
<lpage>188</lpage>
<pub-id pub-id-type="pmid">16828520</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Meng1"><label>33</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Meng</surname>
<given-names>SL</given-names>
</name>
<name><surname>Yan</surname>
<given-names>JX</given-names>
</name>
<name><surname>Xu</surname>
<given-names>GL</given-names>
</name>
<name><surname>Nadin-Davis</surname>
<given-names>SA</given-names>
</name>
<name><surname>Ming</surname>
<given-names>PG</given-names>
</name>
<etal></etal>
</person-group>
<year>2007</year>
<article-title>A molecular epidemiological study targeting the glycoprotein gene of rabies virus isolates from China.</article-title>
<source>Virus Res</source>
<volume>124</volume>
<fpage>125</fpage>
<lpage>138</lpage>
<pub-id pub-id-type="pmid">17129631</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Si1"><label>34</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Si</surname>
<given-names>H</given-names>
</name>
<name><surname>Guo</surname>
<given-names>ZM</given-names>
</name>
<name><surname>Hao</surname>
<given-names>YT</given-names>
</name>
<name><surname>Liu</surname>
<given-names>YG</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>DM</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Rabies trend in China (1990–2007) and post-exposure prophylaxis in the Guangdong province.</article-title>
<source>BMC Infect Dis</source>
<volume>8</volume>
<fpage>113</fpage>
<pub-id pub-id-type="pmid">18717989</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Hu1"><label>35</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname>
<given-names>R</given-names>
</name>
<name><surname>Tang</surname>
<given-names>Q</given-names>
</name>
<name><surname>Tang</surname>
<given-names>J</given-names>
</name>
<name><surname>Fooks</surname>
<given-names>AR</given-names>
</name>
</person-group>
<year>2008</year>
<article-title>Rabies in China: An Update.</article-title>
<source>Vector Borne Zoonotic Dis</source>
</element-citation>
</ref>
<ref id="pone.0031076-Lam1"><label>36</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lam</surname>
<given-names>WK</given-names>
</name>
<name><surname>Zhong</surname>
<given-names>NS</given-names>
</name>
<name><surname>Tan</surname>
<given-names>WC</given-names>
</name>
</person-group>
<year>2003</year>
<article-title>Overview on SARS in Asia and the world.</article-title>
<source>Respirology</source>
<volume>8</volume>
<issue>Suppl</issue>
<fpage>S2</fpage>
<lpage>5</lpage>
<pub-id pub-id-type="pmid">15018125</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-WHO1"><label>37</label>
<element-citation publication-type="book"><collab>WHO</collab>
<year>2008</year>
<source>Cumulative number of confi rmed human cases of avian influenza A/(H5N1) reported to WHO</source>
<publisher-loc>Geneva</publisher-loc>
<publisher-name>World Health Organization</publisher-name>
</element-citation>
</ref>
<ref id="pone.0031076-Tarantola1"><label>38</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tarantola</surname>
<given-names>A</given-names>
</name>
<name><surname>Barboza</surname>
<given-names>P</given-names>
</name>
<name><surname>Gauthier</surname>
<given-names>V</given-names>
</name>
<name><surname>Ioos</surname>
<given-names>S</given-names>
</name>
<name><surname>El Omeiri</surname>
<given-names>N</given-names>
</name>
<etal></etal>
</person-group>
<year>2010</year>
<article-title>The influenza A(H5N1) epidemic at six and a half years: 500 notified human cases and more to come.</article-title>
<source>Euro Surveill</source>
<volume>15</volume>
<fpage>19619</fpage>
<pub-id pub-id-type="pmid">20667302</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Flucountorg1"><label>39</label>
<element-citation publication-type="other"><collab>Flucount.org</collab>
<year>2010</year>
<comment>World Lab-Verified Swine Flu Infections</comment>
</element-citation>
</ref>
<ref id="pone.0031076-Deqiu1"><label>40</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Deqiu</surname>
<given-names>S</given-names>
</name>
<name><surname>Donglou</surname>
<given-names>X</given-names>
</name>
<name><surname>Jiming</surname>
<given-names>Y</given-names>
</name>
</person-group>
<year>2002</year>
<article-title>Epidemiology and control of brucellosis in China.</article-title>
<source>Vet Microbiol</source>
<volume>90</volume>
<fpage>165</fpage>
<lpage>182</lpage>
<pub-id pub-id-type="pmid">12414142</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-World1"><label>41</label>
<element-citation publication-type="book"><collab>World Health Organization</collab>
<year>2005</year>
<source>Global tuberculosis control — surveillance, planning, financing</source>
<publisher-loc>Geneva</publisher-loc>
<publisher-name>The Organization</publisher-name>
</element-citation>
</ref>
<ref id="pone.0031076-Jiang1"><label>42</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jiang</surname>
<given-names>X</given-names>
</name>
<name><surname>Lu</surname>
<given-names>H</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<name><surname>Zhou</surname>
<given-names>Z</given-names>
</name>
<name><surname>Ye</surname>
<given-names>H</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>A cross-sectional study of HIV and tuberculosis coinfection cases in mainland China.</article-title>
<source>South Med J</source>
<volume>101</volume>
<fpage>914</fpage>
<lpage>917</lpage>
<pub-id pub-id-type="pmid">18708989</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Dong1"><label>43</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dong</surname>
<given-names>F</given-names>
</name>
<name><surname>Geng</surname>
<given-names>W</given-names>
</name>
</person-group>
<year>2007</year>
<article-title>Basic situation and influence factor of implementation on tuberculosis DOTS strategy in Guangxi.</article-title>
<source>J Chin Mod Med</source>
<volume>4</volume>
<fpage>598</fpage>
<lpage>1201</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Squire1"><label>44</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Squire</surname>
<given-names>SB</given-names>
</name>
<name><surname>Tang</surname>
<given-names>S</given-names>
</name>
</person-group>
<year>2004</year>
<article-title>The effect of tuberculosis control in China.</article-title>
<source>Lancet</source>
<volume>364</volume>
<fpage>417</fpage>
<lpage>422</lpage>
<pub-id pub-id-type="pmid">15288739</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Chen1"><label>45</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname>
<given-names>X</given-names>
</name>
<name><surname>Zhao</surname>
<given-names>F</given-names>
</name>
<name><surname>Duanmu</surname>
<given-names>H</given-names>
</name>
<name><surname>Wan</surname>
<given-names>L</given-names>
</name>
<name><surname>Wang</surname>
<given-names>L</given-names>
</name>
<etal></etal>
</person-group>
<year>2002</year>
<article-title>The DOTS strategy in China: results and lessons after 10 years.</article-title>
<source>Bull World Health</source>
<volume>80</volume>
<fpage>430</fpage>
<lpage>436</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Zignol1"><label>46</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zignol</surname>
<given-names>M</given-names>
</name>
<name><surname>Hosseini</surname>
<given-names>MS</given-names>
</name>
<name><surname>Wright</surname>
<given-names>A</given-names>
</name>
<name><surname>Weezenbeek</surname>
<given-names>CL</given-names>
</name>
<name><surname>Nunn</surname>
<given-names>P</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Global incidence of multidrug-resistant tuberculosis.</article-title>
<source>J Infect Dis</source>
<volume>194</volume>
<fpage>479</fpage>
<lpage>485</lpage>
<pub-id pub-id-type="pmid">16845631</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Aziz1"><label>47</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aziz</surname>
<given-names>MA</given-names>
</name>
<name><surname>Wright</surname>
<given-names>A</given-names>
</name>
<name><surname>Laszlo</surname>
<given-names>A</given-names>
</name>
<name><surname>De Muynck</surname>
<given-names>A</given-names>
</name>
<name><surname>Portaels</surname>
<given-names>F</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Epidemiology of antituberculosis drug resistance (the Global Project on Anti-tuberculosis Drug Resistance Surveillance): an updated analysis.</article-title>
<source>Lancet</source>
<volume>368</volume>
<fpage>2142</fpage>
<lpage>2154</lpage>
<pub-id pub-id-type="pmid">17174706</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Wang2"><label>48</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname>
<given-names>D</given-names>
</name>
<name><surname>Yang</surname>
<given-names>C</given-names>
</name>
<name><surname>Kuang</surname>
<given-names>T</given-names>
</name>
<name><surname>Lei</surname>
<given-names>H</given-names>
</name>
<name><surname>Meng</surname>
<given-names>X</given-names>
</name>
<etal></etal>
</person-group>
<year>2010</year>
<article-title>Prevalence of multidrug and extensively drug-resistant tuberculosis in Beijing, China: a hospital-based retrospective study.</article-title>
<source>Jpn J Infect Dis</source>
<volume>63</volume>
<fpage>368</fpage>
<lpage>371</lpage>
<pub-id pub-id-type="pmid">20859008</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Zhou1"><label>49</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname>
<given-names>XN</given-names>
</name>
<name><surname>Yang</surname>
<given-names>GJ</given-names>
</name>
<name><surname>Yang</surname>
<given-names>K</given-names>
</name>
<name><surname>Wang</surname>
<given-names>XH</given-names>
</name>
<name><surname>Hong</surname>
<given-names>QB</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Potential impact of climate change on schistosomiasis transmission in China.</article-title>
<source>Am J Trop Med Hyg</source>
<volume>78</volume>
<fpage>188</fpage>
<lpage>194</lpage>
<pub-id pub-id-type="pmid">18256410</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Yang4"><label>50</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname>
<given-names>GJ</given-names>
</name>
<name><surname>Vounatsou</surname>
<given-names>P</given-names>
</name>
<name><surname>Zhou</surname>
<given-names>XN</given-names>
</name>
<name><surname>Tanner</surname>
<given-names>M</given-names>
</name>
<name><surname>Utzinger</surname>
<given-names>J</given-names>
</name>
</person-group>
<year>2005</year>
<article-title>A potential impact of climate change and water resource development on the transmission of Schistosoma japonicum in China.</article-title>
<source>Parassitologia</source>
<volume>47</volume>
<fpage>127</fpage>
<lpage>134</lpage>
<pub-id pub-id-type="pmid">16044681</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Chen2"><label>51</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname>
<given-names>X-S</given-names>
</name>
<name><surname>GONG</surname>
<given-names>X-D</given-names>
</name>
<name><surname>LIANG</surname>
<given-names>G-J</given-names>
</name>
<name><surname>ZHANG</surname>
<given-names>G-C</given-names>
</name>
</person-group>
<year>2000</year>
<article-title>Epidemiologic Trends of Sexually Transmitted Diseases in China.</article-title>
<source>Sexually Transmitted Diseases</source>
<volume>27</volume>
<fpage>138</fpage>
<lpage>142</lpage>
<pub-id pub-id-type="pmid">10726645</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Wang3"><label>52</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname>
<given-names>S</given-names>
</name>
</person-group>
<year>1999</year>
<article-title>The past experience of control of sexually transmitted diseases and causes of re-emergency in China.</article-title>
<source>Chinese Journal of Endemiology</source>
<volume>20</volume>
<fpage>7</fpage>
<lpage>10</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Cohen1"><label>53</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cohen</surname>
<given-names>MS</given-names>
</name>
<name><surname>Ping</surname>
<given-names>G</given-names>
</name>
<name><surname>FOX</surname>
<given-names>K</given-names>
</name>
<name><surname>HENDERSON</surname>
<given-names>GE</given-names>
</name>
</person-group>
<year>2000</year>
<article-title>Sexually Transmitted Diseases in the People's Republic of China in Y2K: Back to the Future.</article-title>
<source>Sexually Transmitted Diseases</source>
<volume>27</volume>
<fpage>143</fpage>
<lpage>145</lpage>
<pub-id pub-id-type="pmid">10726646</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Zeng1"><label>54</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname>
<given-names>G</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>J</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>Y</given-names>
</name>
</person-group>
<year>1997</year>
<article-title>Prevention and treatment of infectious diseases in new millenium in China.</article-title>
<source>Chinese Journal of Epidemiology</source>
<volume>18</volume>
</element-citation>
</ref>
<ref id="pone.0031076-Ruan1"><label>55</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ruan</surname>
<given-names>Y</given-names>
</name>
<name><surname>Cao</surname>
<given-names>X</given-names>
</name>
<name><surname>Qian</surname>
<given-names>HZ</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>L</given-names>
</name>
<name><surname>Qin</surname>
<given-names>G</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Syphilis among female sex workers in southwestern China: potential for HIV transmission.</article-title>
<source>Sex Transm Dis</source>
<volume>33</volume>
<fpage>719</fpage>
<lpage>723</lpage>
<pub-id pub-id-type="pmid">16708055</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Beyrer1"><label>56</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Beyrer</surname>
<given-names>C</given-names>
</name>
</person-group>
<year>2003</year>
<article-title>Hidden epidemic of sexually transmitted diseases in China: crisis and opportunity.</article-title>
<source>JAMA</source>
<volume>289</volume>
<fpage>1303</fpage>
<lpage>1305</lpage>
<pub-id pub-id-type="pmid">12633193</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Pirkle1"><label>57</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pirkle</surname>
<given-names>C</given-names>
</name>
<name><surname>Soundardjee</surname>
<given-names>R</given-names>
</name>
<name><surname>Stella</surname>
<given-names>A</given-names>
</name>
</person-group>
<year>2007</year>
<article-title>Female sex workers in China: vectors of disease?</article-title>
<source>Sex Transm Dis</source>
<volume>34</volume>
<fpage>695</fpage>
<lpage>703</lpage>
<pub-id pub-id-type="pmid">17507838</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Tucker1"><label>58</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tucker</surname>
<given-names>JD</given-names>
</name>
<name><surname>Henderson</surname>
<given-names>GE</given-names>
</name>
<name><surname>Wang</surname>
<given-names>TF</given-names>
</name>
<name><surname>Huang</surname>
<given-names>YY</given-names>
</name>
<name><surname>Parish</surname>
<given-names>W</given-names>
</name>
<etal></etal>
</person-group>
<year>2005</year>
<article-title>Surplus men, sex work, and the spread of HIV in China.</article-title>
<source>AIDS</source>
<volume>19</volume>
<fpage>539</fpage>
<lpage>547</lpage>
<pub-id pub-id-type="pmid">15802971</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Liu2"><label>59</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname>
<given-names>H</given-names>
</name>
<name><surname>Hu</surname>
<given-names>Z</given-names>
</name>
<name><surname>Li</surname>
<given-names>X</given-names>
</name>
<name><surname>Stanton</surname>
<given-names>B</given-names>
</name>
<name><surname>Naar-King</surname>
<given-names>S</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Understanding interrelationships among HIV-related stigma, concern about HIV infection, and intent to disclose HIV serostatus: a pretest-posttest study in a rural area of eastern China.</article-title>
<source>AIDS Patient Care STDS</source>
<volume>20</volume>
<fpage>133</fpage>
<lpage>142</lpage>
<pub-id pub-id-type="pmid">16475894</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang9"><label>60</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>J</given-names>
</name>
<name><surname>Yan</surname>
<given-names>H</given-names>
</name>
<name><surname>Li</surname>
<given-names>X</given-names>
</name>
</person-group>
<year>2003</year>
<article-title>[Survey of high risk behaviors related to AIDS among men who have sex with their regular male sex partners].</article-title>
<source>Journal for China AIDS/STD</source>
<volume>9</volume>
<fpage>984</fpage>
<lpage>986</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Choi1"><label>61</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Choi</surname>
<given-names>KH</given-names>
</name>
<name><surname>Ning</surname>
<given-names>Z</given-names>
</name>
<name><surname>Gregorich</surname>
<given-names>SE</given-names>
</name>
<name><surname>Pan</surname>
<given-names>QC</given-names>
</name>
</person-group>
<year>2007</year>
<article-title>The influence of social and sexual networks in the spread of HIV and syphilis among men who have sex with men in Shanghai, China.</article-title>
<source>J Acquir Immune Defic Syndr</source>
<volume>45</volume>
<fpage>77</fpage>
<lpage>84</lpage>
<pub-id pub-id-type="pmid">17325608</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Ruan2"><label>62</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ruan</surname>
<given-names>YH</given-names>
</name>
<name><surname>Li</surname>
<given-names>DL</given-names>
</name>
<name><surname>Li</surname>
<given-names>XX</given-names>
</name>
<name><surname>Qian</surname>
<given-names>HZ</given-names>
</name>
<name><surname>Shi</surname>
<given-names>W</given-names>
</name>
<etal></etal>
</person-group>
<year>2007</year>
<article-title>Relationship between syphilis and HIV infections among men who have sex with men in Beijing, China.</article-title>
<source>Sexually Transmitted Diseases</source>
<volume>34</volume>
<fpage>592</fpage>
<lpage>597</lpage>
<pub-id pub-id-type="pmid">17325622</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Aldinger1"><label>63</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aldinger</surname>
<given-names>C</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>XW</given-names>
</name>
<name><surname>Liu</surname>
<given-names>LQ</given-names>
</name>
<name><surname>Guo</surname>
<given-names>JX</given-names>
</name>
<name><surname>Yu Sen</surname>
<given-names>H</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Strategies for implementing Health-Promoting Schools in a province in China.</article-title>
<source>Promot Educ</source>
<volume>15</volume>
<fpage>24</fpage>
<lpage>29</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Fang3"><label>64</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fang</surname>
<given-names>Y</given-names>
</name>
<name><surname>Wang</surname>
<given-names>L</given-names>
</name>
<name><surname>Xin</surname>
<given-names>Z</given-names>
</name>
<name><surname>Zhao</surname>
<given-names>L</given-names>
</name>
<name><surname>An</surname>
<given-names>X</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Effect of foliar application of zinc, selenium, and iron fertilizers on nutrients concentration and yield of rice grain in China.</article-title>
<source>J Agric Food Chem</source>
<volume>56</volume>
<fpage>2079</fpage>
<lpage>2084</lpage>
<pub-id pub-id-type="pmid">18311920</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Zhang10"><label>65</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname>
<given-names>JP</given-names>
</name>
<name><surname>Chen</surname>
<given-names>HH</given-names>
</name>
<name><surname>Jia</surname>
<given-names>MH</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>Y</given-names>
</name>
</person-group>
<year>1999</year>
<article-title>Epidemic of HIV infection and prevention research in Yunnan, 1989–98.</article-title>
<source>Chinese Journal of Endemiology</source>
<volume>20</volume>
<fpage>377</fpage>
<lpage>380</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-State1"><label>66</label>
<element-citation publication-type="journal"><collab>State council AIDS working committee office and UN themem group on HIV/AIDS in China.</collab>
<year>2007</year>
<article-title>A Joint Assessment of HIV/AIDS Prevention, Treatment and Care in China.</article-title>
<source>Beijing</source>
</element-citation>
</ref>
<ref id="pone.0031076-Cunningham1"><label>67</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cunningham</surname>
<given-names>AL</given-names>
</name>
<name><surname>Taylor</surname>
<given-names>R</given-names>
</name>
<name><surname>Taylor</surname>
<given-names>J</given-names>
</name>
<name><surname>Marks</surname>
<given-names>C</given-names>
</name>
<name><surname>Shaw</surname>
<given-names>J</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Prevalence of infection with herpes simplex virus types 1 and 2 in Australia: a nationwide population based survey.</article-title>
<source>Sex Transm Infect</source>
<volume>82</volume>
<fpage>164</fpage>
<lpage>168</lpage>
<pub-id pub-id-type="pmid">16581748</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-He1"><label>68</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>He</surname>
<given-names>Q</given-names>
</name>
<name><surname>Wang</surname>
<given-names>Y</given-names>
</name>
<name><surname>Lin</surname>
<given-names>P</given-names>
</name>
<name><surname>Raymond</surname>
<given-names>HF</given-names>
</name>
<name><surname>Li</surname>
<given-names>Y</given-names>
</name>
<etal></etal>
</person-group>
<year>2009</year>
<article-title>High prevalence of risk behavior concurrent with links to other high risk populations: a potentially explosive HIV epidemic among men who have sex with men in Guangzhou, China.</article-title>
<source>Sex Transm Infect</source>
<fpage>sti.2009.035808</fpage>
</element-citation>
</ref>
<ref id="pone.0031076-HIVAIDS1"><label>69</label>
<element-citation publication-type="journal"><collab>HIV/AIDS MoHPsRoCJUNPo</collab>
<year>2006</year>
<article-title>2005 Update on the HIV/AIDS epidemic and response in China.</article-title>
<source>Beijing</source>
</element-citation>
</ref>
<ref id="pone.0031076-Kretzschmar1"><label>70</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kretzschmar</surname>
<given-names>M</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>W</given-names>
</name>
<name><surname>Mikolajczyk</surname>
<given-names>RT</given-names>
</name>
<name><surname>Wang</surname>
<given-names>L</given-names>
</name>
<name><surname>Sun</surname>
<given-names>X</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Regional differences in HIV prevalence among drug users in China: potential for future spread of HIV?</article-title>
<source>BMC Infect Dis</source>
<volume>8</volume>
<fpage>108</fpage>
<pub-id pub-id-type="pmid">18680587</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-State2"><label>71</label>
<element-citation publication-type="journal"><collab>State council AIDS working committee office and UN themem group on HIV/AIDS in China</collab>
<year>2004</year>
<article-title>A Joint Assessment of HIV/AIDS Prevention, Treatment and Care in China.</article-title>
<source>Beijing</source>
</element-citation>
</ref>
<ref id="pone.0031076-Miao1"><label>72</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Miao</surname>
<given-names>Z</given-names>
</name>
</person-group>
<year>2003</year>
<article-title>The spread of HIV/AIDS and strategies for prevetion and control.</article-title>
<source>Chinese Journal of AIDS/STD</source>
<volume>9</volume>
<fpage>54</fpage>
<lpage>56</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Xu1"><label>73</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname>
<given-names>ZY</given-names>
</name>
<name><surname>Wang</surname>
<given-names>XY</given-names>
</name>
<name><surname>Liu</surname>
<given-names>CQ</given-names>
</name>
<name><surname>Li</surname>
<given-names>YT</given-names>
</name>
<name><surname>Zhuang</surname>
<given-names>FC</given-names>
</name>
</person-group>
<year>2008</year>
<article-title>Decline in the risk of hepatitis A virus infection in China, a country with booming economy and changing lifestyles.</article-title>
<source>J Viral Hepat</source>
<volume>15</volume>
<issue>Suppl 2</issue>
<fpage>33</fpage>
<lpage>37</lpage>
<pub-id pub-id-type="pmid">18837831</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Lu1"><label>74</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname>
<given-names>J</given-names>
</name>
<name><surname>Zhou</surname>
<given-names>Y</given-names>
</name>
<name><surname>Lin</surname>
<given-names>X</given-names>
</name>
<name><surname>Jiang</surname>
<given-names>Y</given-names>
</name>
<name><surname>Tian</surname>
<given-names>R</given-names>
</name>
<etal></etal>
</person-group>
<year>2009</year>
<article-title>General epidemiological parameters of viral hepatitis A, B, C, and E in six regions of China: a cross-sectional study in 2007.</article-title>
<source>PLoS One</source>
<volume>4</volume>
<fpage>e8467</fpage>
<pub-id pub-id-type="pmid">20041146</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Liang1"><label>75</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liang</surname>
<given-names>X</given-names>
</name>
<name><surname>Bi</surname>
<given-names>S</given-names>
</name>
<name><surname>Yang</surname>
<given-names>W</given-names>
</name>
<name><surname>Wang</surname>
<given-names>L</given-names>
</name>
<name><surname>Cui</surname>
<given-names>G</given-names>
</name>
<etal></etal>
</person-group>
<year>2009</year>
<article-title>Evaluation of the impact of hepatitis B vaccination among children born during 1992–2005 in China.</article-title>
<source>J Infect Dis</source>
<volume>200</volume>
<fpage>39</fpage>
<lpage>47</lpage>
<pub-id pub-id-type="pmid">19469708</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Purcell1"><label>76</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Purcell</surname>
<given-names>RH</given-names>
</name>
</person-group>
<year>1994</year>
<article-title>Hepatitis viruses: changing patterns of human disease.</article-title>
<source>Proc Natl Acad Sci U S A</source>
<volume>91</volume>
<fpage>2401</fpage>
<lpage>2406</lpage>
<pub-id pub-id-type="pmid">8146130</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Tedaldi1"><label>77</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tedaldi</surname>
<given-names>E</given-names>
</name>
<name><surname>Peters</surname>
<given-names>L</given-names>
</name>
<name><surname>Neuhaus</surname>
<given-names>J</given-names>
</name>
<name><surname>Puoti</surname>
<given-names>M</given-names>
</name>
<name><surname>Rockstroh</surname>
<given-names>J</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Opportunistic disease and mortality in patients coinfected with hepatitis B or C virus in the strategic management of antiretroviral therapy (SMART) study.</article-title>
<source>Clin Infect Dis</source>
<volume>47</volume>
<fpage>1468</fpage>
<lpage>1475</lpage>
<pub-id pub-id-type="pmid">18959492</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Soriano1"><label>78</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Soriano</surname>
<given-names>V</given-names>
</name>
<name><surname>Barreiro</surname>
<given-names>P</given-names>
</name>
<name><surname>Nunez</surname>
<given-names>M</given-names>
</name>
</person-group>
<year>2006</year>
<article-title>Management of chronic hepatitis B and C in HIV-coinfected patients.</article-title>
<source>J Antimicrob Chemother</source>
<volume>57</volume>
<fpage>815</fpage>
<lpage>818</lpage>
<pub-id pub-id-type="pmid">16556638</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Ruan3"><label>79</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ruan</surname>
<given-names>Y</given-names>
</name>
<name><surname>Qin</surname>
<given-names>G</given-names>
</name>
<name><surname>Yin</surname>
<given-names>L</given-names>
</name>
<name><surname>Chen</surname>
<given-names>K</given-names>
</name>
<name><surname>Qian</surname>
<given-names>HZ</given-names>
</name>
<etal></etal>
</person-group>
<year>2007</year>
<article-title>Incidence of HIV, hepatitis C and hepatitis B viruses among injection drug users in southwestern China: a 3-year follow-up study.</article-title>
<source>AIDS</source>
<volume>21</volume>
<issue>Suppl 8</issue>
<fpage>S39</fpage>
<lpage>46</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Bao1"><label>80</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bao</surname>
<given-names>YP</given-names>
</name>
<name><surname>Liu</surname>
<given-names>ZM</given-names>
</name>
</person-group>
<year>2009</year>
<article-title>Systematic review of HIV and HCV infection among drug users in China.</article-title>
<source>Int J STD AIDS</source>
<volume>20</volume>
<fpage>399</fpage>
<lpage>405</lpage>
<pub-id pub-id-type="pmid">19451325</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Bao2"><label>81</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bao</surname>
<given-names>YP</given-names>
</name>
<name><surname>Liu</surname>
<given-names>ZM</given-names>
</name>
<name><surname>Lu</surname>
<given-names>L</given-names>
</name>
</person-group>
<year>2010</year>
<article-title>Review of HIV and HCV infection among drug users in China.</article-title>
<source>Curr Opin Psychiatry</source>
</element-citation>
</ref>
<ref id="pone.0031076-Wu1"><label>82</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname>
<given-names>N</given-names>
</name>
<name><surname>Li</surname>
<given-names>D</given-names>
</name>
<name><surname>Zhu</surname>
<given-names>B</given-names>
</name>
<name><surname>Zou</surname>
<given-names>W</given-names>
</name>
</person-group>
<year>2003</year>
<article-title>Preliminary research on the co-infection of human immunodeficiency virus and hepatitis virus in intravenous drug users.</article-title>
<source>Chin Med J (Engl)</source>
<volume>116</volume>
<fpage>1318</fpage>
<lpage>1320</lpage>
<pub-id pub-id-type="pmid">14527356</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Qian2"><label>83</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qian</surname>
<given-names>HZ</given-names>
</name>
<name><surname>Vermund</surname>
<given-names>SH</given-names>
</name>
<name><surname>Kaslow</surname>
<given-names>RA</given-names>
</name>
<name><surname>Coffey</surname>
<given-names>CS</given-names>
</name>
<name><surname>Chamot</surname>
<given-names>E</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Co-infection with HIV and hepatitis C virus in former plasma/blood donors: challenge for patient care in rural China.</article-title>
<source>AIDS</source>
<volume>20</volume>
<fpage>1429</fpage>
<lpage>1435</lpage>
<pub-id pub-id-type="pmid">16791018</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Xu2"><label>84</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname>
<given-names>JQ</given-names>
</name>
<name><surname>Wang</surname>
<given-names>JJ</given-names>
</name>
<name><surname>Han</surname>
<given-names>LF</given-names>
</name>
<name><surname>Xu</surname>
<given-names>C</given-names>
</name>
<name><surname>Ruan</surname>
<given-names>YH</given-names>
</name>
<etal></etal>
</person-group>
<year>2006</year>
<article-title>Epidemiology, clinical and laboratory characteristics of currently alive HIV-1 infected former blood donors naive to antiretroviral therapy in Anhui Province, China.</article-title>
<source>Chin Med J (Engl)</source>
<volume>119</volume>
<fpage>1941</fpage>
<lpage>1948</lpage>
<pub-id pub-id-type="pmid">17199937</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Wang4"><label>85</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname>
<given-names>L</given-names>
</name>
<name><surname>Wang</surname>
<given-names>Y</given-names>
</name>
<name><surname>Jin</surname>
<given-names>S</given-names>
</name>
<name><surname>Wu</surname>
<given-names>Z</given-names>
</name>
<name><surname>Chin</surname>
<given-names>DP</given-names>
</name>
<etal></etal>
</person-group>
<year>2008</year>
<article-title>Emergence and control of infectious diseases in China.</article-title>
<source>Lancet</source>
<volume>372</volume>
<fpage>1598</fpage>
<lpage>1605</lpage>
<pub-id pub-id-type="pmid">18930534</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Dong2"><label>86</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dong</surname>
<given-names>ZJ</given-names>
</name>
<name><surname>Hao</surname>
<given-names>Z</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>J</given-names>
</name>
</person-group>
<year>2005</year>
<article-title>Infectious diseases in floating population: prevalent features and control.</article-title>
<source>Chinese Rural Health Service Administration</source>
<volume>09</volume>
<fpage>20</fpage>
<lpage>22</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Biao1"><label>87</label>
<element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Biao</surname>
<given-names>X</given-names>
</name>
</person-group>
<year>2003</year>
<source>Migration and Health in China: Problems, Obstacles and Solutions</source>
<publisher-loc>Singapore</publisher-loc>
<publisher-name>Asian Metacentre for Population and Substainable Development Analysis</publisher-name>
<fpage>1</fpage>
<lpage>40</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-Tang1"><label>88</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname>
<given-names>X</given-names>
</name>
<name><surname>Luo</surname>
<given-names>M</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>S</given-names>
</name>
<name><surname>Fooks</surname>
<given-names>AR</given-names>
</name>
<name><surname>Hu</surname>
<given-names>R</given-names>
</name>
<etal></etal>
</person-group>
<year>2005</year>
<article-title>Pivotal role of dogs in rabies transmission, China.</article-title>
<source>Emerg Infect Dis</source>
<volume>11</volume>
<fpage>1970</fpage>
<lpage>1972</lpage>
<pub-id pub-id-type="pmid">16485494</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Hu2"><label>89</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname>
<given-names>RL</given-names>
</name>
<name><surname>Fooks</surname>
<given-names>AR</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>SF</given-names>
</name>
<name><surname>Liu</surname>
<given-names>Y</given-names>
</name>
<name><surname>Zhang</surname>
<given-names>F</given-names>
</name>
</person-group>
<year>2008</year>
<article-title>Inferior rabies vaccine quality and low immunization coverage in dogs (Canis familiaris) in China.</article-title>
<source>Epidemiol Infect</source>
<volume>136</volume>
<fpage>1556</fpage>
<lpage>1563</lpage>
<pub-id pub-id-type="pmid">18177524</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-World2"><label>90</label>
<element-citation publication-type="journal"><collab>World Health Organization</collab>
<year>1996</year>
<article-title>World Health Organization Expert Consultation on Rabies.</article-title>
<source>Geneva</source>
<fpage>88</fpage>
<lpage>89</lpage>
</element-citation>
</ref>
<ref id="pone.0031076-vandenBerg1"><label>91</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>van den Berg</surname>
<given-names>T</given-names>
</name>
</person-group>
<year>2009</year>
<article-title>The role of the legal and illegal trade of live birds and avian products in the spread of avian influenza.</article-title>
<source>Rev Sci Tech</source>
<volume>28</volume>
<fpage>93</fpage>
<lpage>111</lpage>
<pub-id pub-id-type="pmid">19618621</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Peiris1"><label>92</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Peiris</surname>
<given-names>JS</given-names>
</name>
<name><surname>Guan</surname>
<given-names>Y</given-names>
</name>
<name><surname>Yuen</surname>
<given-names>KY</given-names>
</name>
</person-group>
<year>2004</year>
<article-title>Severe acute respiratory syndrome.</article-title>
<source>Nat Med</source>
<volume>10</volume>
<fpage>S88</fpage>
<lpage>97</lpage>
<pub-id pub-id-type="pmid">15577937</pub-id>
</element-citation>
</ref>
<ref id="pone.0031076-Liu3"><label>93</label>
<element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname>
<given-names>JJ</given-names>
</name>
<name><surname>Yao</surname>
<given-names>HY</given-names>
</name>
<name><surname>Liu</surname>
<given-names>EY</given-names>
</name>
</person-group>
<year>2005</year>
<article-title>Analysis of factors affecting the epidemiology of tuberculosis in China.</article-title>
<source>Int J Tuberc Lung Dis</source>
<volume>9</volume>
<fpage>450</fpage>
<lpage>454</lpage>
<pub-id pub-id-type="pmid">15830752</pub-id>
</element-citation>
</ref>
</ref-list>
</back>
</pmc>
</record>
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