Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China.
Identifieur interne : 001692 ( Main/Exploration ); précédent : 001691; suivant : 001693Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China.
Auteurs : Huaiyu Tian [République populaire de Chine] ; Shanqian Huang [République populaire de Chine] ; Sen Zhou [États-Unis] ; Peng Bi [Australie] ; Zhicong Yang [République populaire de Chine] ; Xiujun Li [République populaire de Chine] ; Lifan Chen [République populaire de Chine] ; Bernard Cazelles [France] ; Jing Yang [République populaire de Chine] ; Lei Luo [République populaire de Chine] ; Qinlong Jing [République populaire de Chine] ; Wenping Yuan [République populaire de Chine] ; Yao Pei [République populaire de Chine] ; Zhe Sun [République populaire de Chine] ; Tianxiang Yue [République populaire de Chine] ; Mei-Po Kwan [États-Unis] ; Qiyong Liu [République populaire de Chine] ; Ming Wang [République populaire de Chine] ; Shilu Tong [Australie] ; John S. Brownstein [États-Unis] ; Bing Xu [États-Unis]Source :
- Environmental research [ 1096-0953 ] ; 2016.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Eau douce.
- physiologie : Aedes, Vecteurs insectes.
- virologie : Dengue.
- épidémiologie : Chine, Dengue.
- Animaux, Flambées de maladies, Urbanisation.
English descriptors
- KwdEn :
- MESH :
- analysis : Fresh Water.
- epidemiology : China, Dengue.
- physiology : Aedes, Insect Vectors.
- transmission : Dengue.
- virology : Dengue.
- Animals, Disease Outbreaks, Urbanization.
Abstract
Dengue transmission in urban areas is strongly influenced by a range of biological and environmental factors, yet the key drivers still need further exploration. To better understand mechanisms of environment-mosquito-urban dengue transmission, we propose an empirical model parameterized and cross-validated from a unique dataset including viral gene sequences, vector dynamics and human dengue cases in Guangzhou, China, together with a 36-year urban environmental change maps investigated by spatiotemporal satellite image fusion. The dengue epidemics in Guangzhou are highly episodic and were not associated with annual rainfall over time. Our results indicate that urban environmental changes, especially variations in surface area covered by water in urban areas, can substantially alter the virus population and dengue transmission. The recent severe dengue outbreaks in Guangzhou may be due to the surge in an artificial lake construction, which could increase infection force between vector (mainly Aedes albopictus) and host when urban water area significantly increased. Impacts of urban environmental change on dengue dynamics may not have been thoroughly investigated in the past studies and more work needs to be done to better understand the consequences of urbanization processes in our changing world.
DOI: 10.1016/j.envres.2016.05.039
PubMed: 27336234
Affiliations:
- Australie, France, République populaire de Chine, États-Unis
- Guangdong, Illinois, Massachusetts, Utah, Île-de-France
- Jiangmen, Paris, Pékin
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Le document en format XML
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<author><name sortKey="Yuan, Wenping" sort="Yuan, Wenping" uniqKey="Yuan W" first="Wenping" last="Yuan">Wenping Yuan</name>
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<author><name sortKey="Pei, Yao" sort="Pei, Yao" uniqKey="Pei Y" first="Yao" last="Pei">Yao Pei</name>
<affiliation wicri:level="3"><nlm:affiliation>Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, Tsinghua University, Beijing, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, Tsinghua University, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Sun, Zhe" sort="Sun, Zhe" uniqKey="Sun Z" first="Zhe" last="Sun">Zhe Sun</name>
<affiliation wicri:level="3"><nlm:affiliation>Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, Tsinghua University, Beijing, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, Tsinghua University, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yue, Tianxiang" sort="Yue, Tianxiang" uniqKey="Yue T" first="Tianxiang" last="Yue">Tianxiang Yue</name>
<affiliation wicri:level="3"><nlm:affiliation>State Key Laboratory of Resources and Environment Information System, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory of Resources and Environment Information System, Chinese Academy of Sciences, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Kwan, Mei Po" sort="Kwan, Mei Po" uniqKey="Kwan M" first="Mei-Po" last="Kwan">Mei-Po Kwan</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Champaign, IL 61820</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Liu, Qiyong" sort="Liu, Qiyong" uniqKey="Liu Q" first="Qiyong" last="Liu">Qiyong Liu</name>
<affiliation wicri:level="3"><nlm:affiliation>State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wang, Ming" sort="Wang, Ming" uniqKey="Wang M" first="Ming" last="Wang">Ming Wang</name>
<affiliation wicri:level="3"><nlm:affiliation>Guangzhou Center for Disease Control and Prevention, Guangzhou, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Guangzhou Center for Disease Control and Prevention, Guangzhou</wicri:regionArea>
<placeName><settlement type="city">Jiangmen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Tong, Shilu" sort="Tong, Shilu" uniqKey="Tong S" first="Shilu" last="Tong">Shilu Tong</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>School of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059</wicri:regionArea>
<wicri:noRegion>Queensland 4059</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Brownstein, John S" sort="Brownstein, John S" uniqKey="Brownstein J" first="John S" last="Brownstein">John S. Brownstein</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Pediatrics, Harvard Medical School, Boston, MA, USA. Electronic address: John.Brownstein@childrens.harvard.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Pediatrics, Harvard Medical School, Boston, MA</wicri:regionArea>
<placeName><region type="state">Massachusetts</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Xu, Bing" sort="Xu, Bing" uniqKey="Xu B" first="Bing" last="Xu">Bing Xu</name>
<affiliation wicri:level="2"><nlm:affiliation>State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, Tsinghua University, Beijing, China; Department of Geography, University of Utah, Salt Lake City, UT 84112, USA. Electronic address: bingxu@tsinghua.edu.cn.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, Tsinghua University, Beijing, China; Department of Geography, University of Utah, Salt Lake City, UT 84112</wicri:regionArea>
<placeName><region type="state">Utah</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">Environmental research</title>
<idno type="eISSN">1096-0953</idno>
<imprint><date when="2016" type="published">2016</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aedes (physiology)</term>
<term>Animals</term>
<term>China (epidemiology)</term>
<term>Dengue (epidemiology)</term>
<term>Dengue (transmission)</term>
<term>Dengue (virology)</term>
<term>Disease Outbreaks</term>
<term>Fresh Water (analysis)</term>
<term>Insect Vectors (physiology)</term>
<term>Urbanization</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Aedes (physiologie)</term>
<term>Animaux</term>
<term>Chine (épidémiologie)</term>
<term>Dengue (transmission)</term>
<term>Dengue (virologie)</term>
<term>Dengue (épidémiologie)</term>
<term>Eau douce (analyse)</term>
<term>Flambées de maladies</term>
<term>Urbanisation</term>
<term>Vecteurs insectes (physiologie)</term>
</keywords>
<keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Eau douce</term>
</keywords>
<keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Fresh Water</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>China</term>
<term>Dengue</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Aedes</term>
<term>Vecteurs insectes</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Aedes</term>
<term>Insect Vectors</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Dengue</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Dengue</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Dengue</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Chine</term>
<term>Dengue</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Disease Outbreaks</term>
<term>Urbanization</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Animaux</term>
<term>Flambées de maladies</term>
<term>Urbanisation</term>
</keywords>
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<front><div type="abstract" xml:lang="en">Dengue transmission in urban areas is strongly influenced by a range of biological and environmental factors, yet the key drivers still need further exploration. To better understand mechanisms of environment-mosquito-urban dengue transmission, we propose an empirical model parameterized and cross-validated from a unique dataset including viral gene sequences, vector dynamics and human dengue cases in Guangzhou, China, together with a 36-year urban environmental change maps investigated by spatiotemporal satellite image fusion. The dengue epidemics in Guangzhou are highly episodic and were not associated with annual rainfall over time. Our results indicate that urban environmental changes, especially variations in surface area covered by water in urban areas, can substantially alter the virus population and dengue transmission. The recent severe dengue outbreaks in Guangzhou may be due to the surge in an artificial lake construction, which could increase infection force between vector (mainly Aedes albopictus) and host when urban water area significantly increased. Impacts of urban environmental change on dengue dynamics may not have been thoroughly investigated in the past studies and more work needs to be done to better understand the consequences of urbanization processes in our changing world.</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>France</li>
<li>République populaire de Chine</li>
<li>États-Unis</li>
</country>
<region><li>Guangdong</li>
<li>Illinois</li>
<li>Massachusetts</li>
<li>Utah</li>
<li>Île-de-France</li>
</region>
<settlement><li>Jiangmen</li>
<li>Paris</li>
<li>Pékin</li>
</settlement>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Tian, Huaiyu" sort="Tian, Huaiyu" uniqKey="Tian H" first="Huaiyu" last="Tian">Huaiyu Tian</name>
</noRegion>
<name sortKey="Chen, Lifan" sort="Chen, Lifan" uniqKey="Chen L" first="Lifan" last="Chen">Lifan Chen</name>
<name sortKey="Huang, Shanqian" sort="Huang, Shanqian" uniqKey="Huang S" first="Shanqian" last="Huang">Shanqian Huang</name>
<name sortKey="Jing, Qinlong" sort="Jing, Qinlong" uniqKey="Jing Q" first="Qinlong" last="Jing">Qinlong Jing</name>
<name sortKey="Li, Xiujun" sort="Li, Xiujun" uniqKey="Li X" first="Xiujun" last="Li">Xiujun Li</name>
<name sortKey="Liu, Qiyong" sort="Liu, Qiyong" uniqKey="Liu Q" first="Qiyong" last="Liu">Qiyong Liu</name>
<name sortKey="Luo, Lei" sort="Luo, Lei" uniqKey="Luo L" first="Lei" last="Luo">Lei Luo</name>
<name sortKey="Pei, Yao" sort="Pei, Yao" uniqKey="Pei Y" first="Yao" last="Pei">Yao Pei</name>
<name sortKey="Sun, Zhe" sort="Sun, Zhe" uniqKey="Sun Z" first="Zhe" last="Sun">Zhe Sun</name>
<name sortKey="Wang, Ming" sort="Wang, Ming" uniqKey="Wang M" first="Ming" last="Wang">Ming Wang</name>
<name sortKey="Yang, Jing" sort="Yang, Jing" uniqKey="Yang J" first="Jing" last="Yang">Jing Yang</name>
<name sortKey="Yang, Zhicong" sort="Yang, Zhicong" uniqKey="Yang Z" first="Zhicong" last="Yang">Zhicong Yang</name>
<name sortKey="Yuan, Wenping" sort="Yuan, Wenping" uniqKey="Yuan W" first="Wenping" last="Yuan">Wenping Yuan</name>
<name sortKey="Yue, Tianxiang" sort="Yue, Tianxiang" uniqKey="Yue T" first="Tianxiang" last="Yue">Tianxiang Yue</name>
</country>
<country name="États-Unis"><region name="Massachusetts"><name sortKey="Zhou, Sen" sort="Zhou, Sen" uniqKey="Zhou S" first="Sen" last="Zhou">Sen Zhou</name>
</region>
<name sortKey="Brownstein, John S" sort="Brownstein, John S" uniqKey="Brownstein J" first="John S" last="Brownstein">John S. Brownstein</name>
<name sortKey="Kwan, Mei Po" sort="Kwan, Mei Po" uniqKey="Kwan M" first="Mei-Po" last="Kwan">Mei-Po Kwan</name>
<name sortKey="Xu, Bing" sort="Xu, Bing" uniqKey="Xu B" first="Bing" last="Xu">Bing Xu</name>
</country>
<country name="Australie"><noRegion><name sortKey="Bi, Peng" sort="Bi, Peng" uniqKey="Bi P" first="Peng" last="Bi">Peng Bi</name>
</noRegion>
<name sortKey="Tong, Shilu" sort="Tong, Shilu" uniqKey="Tong S" first="Shilu" last="Tong">Shilu Tong</name>
</country>
<country name="France"><region name="Île-de-France"><name sortKey="Cazelles, Bernard" sort="Cazelles, Bernard" uniqKey="Cazelles B" first="Bernard" last="Cazelles">Bernard Cazelles</name>
</region>
</country>
</tree>
</affiliations>
</record>
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