SARS epidemical forecast research in mathematical model
Identifieur interne : 001513 ( Pmc/Checkpoint ); précédent : 001512; suivant : 001514SARS epidemical forecast research in mathematical model
Auteurs : Ding Guanghong ; Liu Chang ; Gong Jianqiu ; Wang Ling ; Cheng Ke ; Zhang DiSource :
- Chinese Science Bulletin = Kexue Tongbao [ 1001-6538 ] ; 2004.
Abstract
The SIJR model, simplified from the SEIJR model, is adopted to analyze the important parameters of the model of SARS epidemic such as the transmission rate, basic reproductive number. And some important parameters are obtained such as the transmission rate by applying this model to analyzing the situation in Hong Kong, Singapore and Canada at the outbreak of SARS. Then forecast of the transmission of SARS is drawn out here by the adjustment of parameters (such as quarantined rate) in the model. It is obvious that inflexion lies on the crunode of the graph, which indicates the big difference in transmission characteristics between the epidemic under control and not under control. This model can also be used in the comparison of the control effectiveness among different regions. The results from this model match well with the actual data in Hong Kong, Singapore and Canada and as a by-product, the index of the effectiveness of control in the later period can be acquired. It offers some quantitative indexes, which may help the further research in epidemic diseases.
Url:
DOI: 10.1360/04we0073
PubMed: 32214715
PubMed Central: 7089478
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
PMC:7089478Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">SARS epidemical forecast research in mathematical model</title><author><name sortKey="Guanghong, Ding" sort="Guanghong, Ding" uniqKey="Guanghong D" first="Ding" last="Guanghong">Ding Guanghong</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Chang, Liu" sort="Chang, Liu" uniqKey="Chang L" first="Liu" last="Chang">Liu Chang</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Jianqiu, Gong" sort="Jianqiu, Gong" uniqKey="Jianqiu G" first="Gong" last="Jianqiu">Gong Jianqiu</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Ling, Wang" sort="Ling, Wang" uniqKey="Ling W" first="Wang" last="Ling">Wang Ling</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Ke, Cheng" sort="Ke, Cheng" uniqKey="Ke C" first="Cheng" last="Ke">Cheng Ke</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Di, Zhang" sort="Di, Zhang" uniqKey="Di Z" first="Zhang" last="Di">Zhang Di</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">32214715</idno><idno type="pmc">7089478</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089478</idno><idno type="RBID">PMC:7089478</idno><idno type="doi">10.1360/04we0073</idno><date when="2004">2004</date><idno type="wicri:Area/Pmc/Corpus">000357</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000357</idno><idno type="wicri:Area/Pmc/Curation">000357</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000357</idno><idno type="wicri:Area/Pmc/Checkpoint">001513</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">001513</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">SARS epidemical forecast research in mathematical model</title><author><name sortKey="Guanghong, Ding" sort="Guanghong, Ding" uniqKey="Guanghong D" first="Ding" last="Guanghong">Ding Guanghong</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Chang, Liu" sort="Chang, Liu" uniqKey="Chang L" first="Liu" last="Chang">Liu Chang</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Jianqiu, Gong" sort="Jianqiu, Gong" uniqKey="Jianqiu G" first="Gong" last="Jianqiu">Gong Jianqiu</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Ling, Wang" sort="Ling, Wang" uniqKey="Ling W" first="Wang" last="Ling">Wang Ling</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Ke, Cheng" sort="Ke, Cheng" uniqKey="Ke C" first="Cheng" last="Ke">Cheng Ke</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author><author><name sortKey="Di, Zhang" sort="Di, Zhang" uniqKey="Di Z" first="Zhang" last="Di">Zhang Di</name><affiliation><nlm:aff id="Aff1"></nlm:aff></affiliation></author></analytic><series><title level="j">Chinese Science Bulletin = Kexue Tongbao</title><idno type="ISSN">1001-6538</idno><idno type="eISSN">1861-9541</idno><imprint><date when="2004">2004</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The SIJR model, simplified from the SEIJR model, is adopted to analyze the important parameters of the model of SARS epidemic such as the transmission rate, basic reproductive number. And some important parameters are obtained such as the transmission rate by applying this model to analyzing the situation in Hong Kong, Singapore and Canada at the outbreak of SARS. Then forecast of the transmission of SARS is drawn out here by the adjustment of parameters (such as quarantined rate) in the model. It is obvious that inflexion lies on the crunode of the graph, which indicates the big difference in transmission characteristics between the epidemic under control and not under control. This model can also be used in the comparison of the control effectiveness among different regions. The results from this model match well with the actual data in Hong Kong, Singapore and Canada and as a by-product, the index of the effectiveness of control in the later period can be acquired. It offers some quantitative indexes, which may help the further research in epidemic diseases.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Enserink, Martin" uniqKey="Enserink M">Martin Enserink</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Lipsitch, Marc" uniqKey="Lipsitch M">Marc Lipsitch</name></author><author><name sortKey="Cohen, Ted" uniqKey="Cohen T">Ted Cohen</name></author><author><name sortKey="Cooper, Ben" uniqKey="Cooper B">Ben Cooper</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Riley, Steven" uniqKey="Riley S">Steven Riley</name></author><author><name sortKey="Fraser, Christophe" uniqKey="Fraser C">Christophe Fraser</name></author><author><name sortKey="Donnelly, Christ A" uniqKey="Donnelly C">Christ A. Donnelly</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Dye, Chris" uniqKey="Dye C">Chris Dye</name></author><author><name sortKey="Gay, Nigel" uniqKey="Gay N">Nigel Gay</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Qizhi, Chen" uniqKey="Qizhi C">Chen Qizhi</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Razum, Oliver" uniqKey="Razum O">Oliver Razum</name></author><author><name sortKey="Becher, Heiko" uniqKey="Becher H">Heiko Becher</name></author><author><name sortKey="Kapaun, Annette" uniqKey="Kapaun A">Annette Kapaun</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Donnelly, Christl A" uniqKey="Donnelly C">Christl A. Donnelly</name></author><author><name sortKey="Ghani, Azra C" uniqKey="Ghani A">Azra C. Ghani</name></author><author><name sortKey="Leung, Gabriel M" uniqKey="Leung G">Gabriel M. Leung</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Ng, Tuen Wai" uniqKey="Ng T">Tuen Wai Ng</name></author><author><name sortKey="Turinici, Gabriel" uniqKey="Turinici G">Gabriel Turinici</name></author><author><name sortKey="Danchin, Antoine" uniqKey="Danchin A">Antoine Danchin</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Aron, J L" uniqKey="Aron J">J. L. Aron</name></author><author><name sortKey="Schwartz, I B" uniqKey="Schwartz I">I. B. Schwartz</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Earn, J D" uniqKey="Earn J">J. D. Earn</name></author><author><name sortKey="Rohani, P" uniqKey="Rohani P">P. Rohani</name></author><author><name sortKey="Bolker, B M" uniqKey="Bolker B">B. M. Bolker</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Gani, Raymond" uniqKey="Gani R">Raymond Gani</name></author><author><name sortKey="Leach, Steve" uniqKey="Leach S">Steve Leach</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Alves, D" uniqKey="Alves D">D. Alves</name></author><author><name sortKey="Haas, V J" uniqKey="Haas V">V. J. Haas</name></author><author><name sortKey="Caliri, A" uniqKey="Caliri A">A. Caliri</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yang, H M" uniqKey="Yang H">H. M. Yang</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Childs, J E" uniqKey="Childs J">J. E. Childs</name></author><author><name sortKey="Curns, A T" uniqKey="Curns A">A. T. Curns</name></author><author><name sortKey="Dey, M E" uniqKey="Dey M">M. E. Dey</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chowell, G" uniqKey="Chowell G">G. Chowell</name></author><author><name sortKey="Hengartner, N W" uniqKey="Hengartner N">N. W. Hengartner</name></author><author><name sortKey="Castillo Chavez, C" uniqKey="Castillo Chavez C">C. Castillo-Chavez</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Leo, Y S" uniqKey="Leo Y">Y. S. Leo</name></author><author><name sortKey="Chen, M" uniqKey="Chen M">M. Chen</name></author><author><name sortKey="Heng, B H" uniqKey="Heng B">B. H. Heng</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Chin Sci Bull</journal-id><journal-id journal-id-type="iso-abbrev">Chin. Sci. Bull</journal-id><journal-title-group><journal-title>Chinese Science Bulletin = Kexue Tongbao</journal-title></journal-title-group><issn pub-type="ppub">1001-6538</issn><issn pub-type="epub">1861-9541</issn><publisher><publisher-name>Science in China Press</publisher-name><publisher-loc>Beijing</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">32214715</article-id><article-id pub-id-type="pmc">7089478</article-id><article-id pub-id-type="publisher-id">49212332</article-id><article-id pub-id-type="doi">10.1360/04we0073</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group></article-categories><title-group><article-title>SARS epidemical forecast research in mathematical model</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Guanghong</surname><given-names>Ding</given-names></name><address><email>ghding@fudan.edu.cn</email></address><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Chang</surname><given-names>Liu</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Jianqiu</surname><given-names>Gong</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Ling</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Ke</surname><given-names>Cheng</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Di</surname><given-names>Zhang</given-names></name><xref ref-type="aff" rid="Aff1"></xref></contrib><aff id="Aff1"><institution-wrap><institution-id institution-id-type="GRID">grid.8547.e</institution-id><institution-id institution-id-type="ISNI">0000000101252443</institution-id><institution>Department of Mechanics and Engineering Science, Shanghai Research Center of Acupuncture and Meridians,</institution><institution>Fudan University,</institution></institution-wrap>200433 Shanghai, China</aff></contrib-group><pub-date pub-type="epub"><day>22</day><month>3</month><year>2013</year></pub-date><pub-date pub-type="ppub"><year>2004</year></pub-date><volume>49</volume><issue>21</issue><fpage>2332</fpage><lpage>2338</lpage><history><date date-type="received"><day>5</day><month>4</month><year>2004</year></date><date date-type="accepted"><day>9</day><month>9</month><year>2004</year></date></history><permissions><copyright-statement>© Science in China Press 2004</copyright-statement><license><license-p>This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.</license-p></license></permissions><abstract id="Abs1"><p>The SIJR model, simplified from the SEIJR model, is adopted to analyze the important parameters of the model of SARS epidemic such as the transmission rate, basic reproductive number. And some important parameters are obtained such as the transmission rate by applying this model to analyzing the situation in Hong Kong, Singapore and Canada at the outbreak of SARS. Then forecast of the transmission of SARS is drawn out here by the adjustment of parameters (such as quarantined rate) in the model. It is obvious that inflexion lies on the crunode of the graph, which indicates the big difference in transmission characteristics between the epidemic under control and not under control. This model can also be used in the comparison of the control effectiveness among different regions. The results from this model match well with the actual data in Hong Kong, Singapore and Canada and as a by-product, the index of the effectiveness of control in the later period can be acquired. It offers some quantitative indexes, which may help the further research in epidemic diseases.</p></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>SARS</kwd><kwd>quarantined rate</kwd><kwd>transmission rate</kwd><kwd>basic reproductive number</kwd><kwd>SIJR model</kwd><kwd>SEIJR model</kwd><kwd>inflexion</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© Science in China Press 2004</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc><affiliations><list></list><tree><noCountry><name sortKey="Chang, Liu" sort="Chang, Liu" uniqKey="Chang L" first="Liu" last="Chang">Liu Chang</name><name sortKey="Di, Zhang" sort="Di, Zhang" uniqKey="Di Z" first="Zhang" last="Di">Zhang Di</name><name sortKey="Guanghong, Ding" sort="Guanghong, Ding" uniqKey="Guanghong D" first="Ding" last="Guanghong">Ding Guanghong</name><name sortKey="Jianqiu, Gong" sort="Jianqiu, Gong" uniqKey="Jianqiu G" first="Gong" last="Jianqiu">Gong Jianqiu</name><name sortKey="Ke, Cheng" sort="Ke, Cheng" uniqKey="Ke C" first="Cheng" last="Ke">Cheng Ke</name><name sortKey="Ling, Wang" sort="Ling, Wang" uniqKey="Ling W" first="Wang" last="Ling">Wang Ling</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SrasV1/Data/Pmc/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001513 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Checkpoint/biblio.hfd -nk 001513 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= SrasV1
|flux= Pmc
|étape= Checkpoint
|type= RBID
|clé= PMC:7089478
|texte= SARS epidemical forecast research in mathematical model
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Checkpoint/RBID.i -Sk "pubmed:32214715" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Checkpoint/biblio.hfd \
| NlmPubMed2Wicri -a SrasV1
| This area was generated with Dilib version V0.6.33. |  |