A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.
Identifieur interne : 000042 ( PubMed/Corpus ); précédent : 000041; suivant : 000043A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.
Auteurs : Qianying Lin ; Shi Zhao ; Daozhou Gao ; Yijun Lou ; Shu Yang ; Salihu S. Musa ; Maggie H. Wang ; Yongli Cai ; Weiming Wang ; Lin Yang ; Daihai HeSource :
- International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [ 1878-3511 ] ; 2020.
English descriptors
- KwdEn :
- Betacoronavirus, China (epidemiology), Coronavirus Infections (epidemiology), Disease Outbreaks, Government, Government Regulation, Humans, Influenza Pandemic, 1918-1919 (statistics & numerical data), Models, Biological, Pandemics, Pneumonia, Viral (epidemiology), Public Health (legislation & jurisprudence), Quarantine, Travel (legislation & jurisprudence), United Kingdom (epidemiology).
- MESH :
- geographic , epidemiology : China, United Kingdom.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- legislation & jurisprudence : Public Health, Travel.
- statistics & numerical data : Influenza Pandemic, 1918-1919.
- Betacoronavirus, Disease Outbreaks, Government, Government Regulation, Humans, Models, Biological, Pandemics, Quarantine.
Abstract
The ongoing coronavirus disease 2019 (COVID-19) outbreak, emerged in Wuhan, China in the end of 2019, has claimed more than 2600 lives as of 24 February 2020 and posed a huge threat to global public health. The Chinese government has implemented control measures including setting up special hospitals and travel restriction to mitigate the spread. We propose conceptual models for the COVID-19 outbreak in Wuhan with the consideration of individual behavioural reaction and governmental actions, e.g., holiday extension, travel restriction, hospitalisation and quarantine. We employe the estimates of these two key components from the 1918 influenza pandemic in London, United Kingdom, incorporated zoonotic introductions and the emigration, and then compute future trends and the reporting ratio. The model is concise in structure, and it successfully captures the course of the COVID-19 outbreak, and thus sheds light on understanding the trends of the outbreak.
DOI: 10.1016/j.ijid.2020.02.058
PubMed: 32145465
Links to Exploration step
pubmed:32145465Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.</title><author><name sortKey="Lin, Qianying" sort="Lin, Qianying" uniqKey="Lin Q" first="Qianying" last="Lin">Qianying Lin</name><affiliation><nlm:affiliation>Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, USA. Electronic address: qianying@umich.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Zhao, Shi" sort="Zhao, Shi" uniqKey="Zhao S" first="Shi" last="Zhao">Shi Zhao</name><affiliation><nlm:affiliation>JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of Chinese University of Hong Kong, Shenzhen, China. Electronic address: shi.zhao@link.cuhk.edu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="Gao, Daozhou" sort="Gao, Daozhou" uniqKey="Gao D" first="Daozhou" last="Gao">Daozhou Gao</name><affiliation><nlm:affiliation>Mathematics and Science College, Shanghai Normal University, Shanghai, China. Electronic address: dzgao@shnu.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Lou, Yijun" sort="Lou, Yijun" uniqKey="Lou Y" first="Yijun" last="Lou">Yijun Lou</name><affiliation><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: yijun.lou@polyu.edu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Shu" sort="Yang, Shu" uniqKey="Yang S" first="Shu" last="Yang">Shu Yang</name><affiliation><nlm:affiliation>College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address: sishiyu1978@qq.com.</nlm:affiliation></affiliation></author><author><name sortKey="Musa, Salihu S" sort="Musa, Salihu S" uniqKey="Musa S" first="Salihu S" last="Musa">Salihu S. Musa</name><affiliation><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: salihu-sabiu.musa@connect.polyu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Maggie H" sort="Wang, Maggie H" uniqKey="Wang M" first="Maggie H" last="Wang">Maggie H. Wang</name><affiliation><nlm:affiliation>JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of Chinese University of Hong Kong, Shenzhen, China. Electronic address: maggiew@cuhk.edu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="Cai, Yongli" sort="Cai, Yongli" uniqKey="Cai Y" first="Yongli" last="Cai">Yongli Cai</name><affiliation><nlm:affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: yonglicai@hytc.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Weiming" sort="Wang, Weiming" uniqKey="Wang W" first="Weiming" last="Wang">Weiming Wang</name><affiliation><nlm:affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: weimingwang2003@163.com.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Lin" sort="Yang, Lin" uniqKey="Yang L" first="Lin" last="Yang">Lin Yang</name><affiliation><nlm:affiliation>School of Nursing, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: l.yang@polyu.edu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="He, Daihai" sort="He, Daihai" uniqKey="He D" first="Daihai" last="He">Daihai He</name><affiliation><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: daihai.he@polyu.edu.hk.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32145465</idno><idno type="pmid">32145465</idno><idno type="doi">10.1016/j.ijid.2020.02.058</idno><idno type="wicri:Area/PubMed/Corpus">000042</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000042</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.</title><author><name sortKey="Lin, Qianying" sort="Lin, Qianying" uniqKey="Lin Q" first="Qianying" last="Lin">Qianying Lin</name><affiliation><nlm:affiliation>Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, USA. Electronic address: qianying@umich.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Zhao, Shi" sort="Zhao, Shi" uniqKey="Zhao S" first="Shi" last="Zhao">Shi Zhao</name><affiliation><nlm:affiliation>JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of Chinese University of Hong Kong, Shenzhen, China. Electronic address: shi.zhao@link.cuhk.edu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="Gao, Daozhou" sort="Gao, Daozhou" uniqKey="Gao D" first="Daozhou" last="Gao">Daozhou Gao</name><affiliation><nlm:affiliation>Mathematics and Science College, Shanghai Normal University, Shanghai, China. Electronic address: dzgao@shnu.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Lou, Yijun" sort="Lou, Yijun" uniqKey="Lou Y" first="Yijun" last="Lou">Yijun Lou</name><affiliation><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: yijun.lou@polyu.edu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Shu" sort="Yang, Shu" uniqKey="Yang S" first="Shu" last="Yang">Shu Yang</name><affiliation><nlm:affiliation>College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address: sishiyu1978@qq.com.</nlm:affiliation></affiliation></author><author><name sortKey="Musa, Salihu S" sort="Musa, Salihu S" uniqKey="Musa S" first="Salihu S" last="Musa">Salihu S. Musa</name><affiliation><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: salihu-sabiu.musa@connect.polyu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Maggie H" sort="Wang, Maggie H" uniqKey="Wang M" first="Maggie H" last="Wang">Maggie H. Wang</name><affiliation><nlm:affiliation>JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of Chinese University of Hong Kong, Shenzhen, China. Electronic address: maggiew@cuhk.edu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="Cai, Yongli" sort="Cai, Yongli" uniqKey="Cai Y" first="Yongli" last="Cai">Yongli Cai</name><affiliation><nlm:affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: yonglicai@hytc.edu.cn.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Weiming" sort="Wang, Weiming" uniqKey="Wang W" first="Weiming" last="Wang">Weiming Wang</name><affiliation><nlm:affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: weimingwang2003@163.com.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Lin" sort="Yang, Lin" uniqKey="Yang L" first="Lin" last="Yang">Lin Yang</name><affiliation><nlm:affiliation>School of Nursing, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: l.yang@polyu.edu.hk.</nlm:affiliation></affiliation></author><author><name sortKey="He, Daihai" sort="He, Daihai" uniqKey="He D" first="Daihai" last="He">Daihai He</name><affiliation><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: daihai.he@polyu.edu.hk.</nlm:affiliation></affiliation></author></analytic><series><title level="j">International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</title><idno type="eISSN">1878-3511</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Betacoronavirus</term><term>China (epidemiology)</term><term>Coronavirus Infections (epidemiology)</term><term>Disease Outbreaks</term><term>Government</term><term>Government Regulation</term><term>Humans</term><term>Influenza Pandemic, 1918-1919 (statistics & numerical data)</term><term>Models, Biological</term><term>Pandemics</term><term>Pneumonia, Viral (epidemiology)</term><term>Public Health (legislation & jurisprudence)</term><term>Quarantine</term><term>Travel (legislation & jurisprudence)</term><term>United Kingdom (epidemiology)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>China</term><term>United Kingdom</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="legislation & jurisprudence" xml:lang="en"><term>Public Health</term><term>Travel</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Influenza Pandemic, 1918-1919</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Betacoronavirus</term><term>Disease Outbreaks</term><term>Government</term><term>Government Regulation</term><term>Humans</term><term>Models, Biological</term><term>Pandemics</term><term>Quarantine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The ongoing coronavirus disease 2019 (COVID-19) outbreak, emerged in Wuhan, China in the end of 2019, has claimed more than 2600 lives as of 24 February 2020 and posed a huge threat to global public health. The Chinese government has implemented control measures including setting up special hospitals and travel restriction to mitigate the spread. We propose conceptual models for the COVID-19 outbreak in Wuhan with the consideration of individual behavioural reaction and governmental actions, e.g., holiday extension, travel restriction, hospitalisation and quarantine. We employe the estimates of these two key components from the 1918 influenza pandemic in London, United Kingdom, incorporated zoonotic introductions and the emigration, and then compute future trends and the reporting ratio. The model is concise in structure, and it successfully captures the course of the COVID-19 outbreak, and thus sheds light on understanding the trends of the outbreak.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32145465</PMID><DateCompleted><Year>2020</Year><Month>05</Month><Day>05</Day></DateCompleted><DateRevised><Year>2020</Year><Month>05</Month><Day>05</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1878-3511</ISSN><JournalIssue CitedMedium="Internet"><Volume>93</Volume><PubDate><Year>2020</Year><Month>Apr</Month></PubDate></JournalIssue><Title>International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</Title><ISOAbbreviation>Int. J. Infect. Dis.</ISOAbbreviation></Journal><ArticleTitle>A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.</ArticleTitle><Pagination><MedlinePgn>211-216</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1201-9712(20)30117-X</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ijid.2020.02.058</ELocationID><Abstract><AbstractText>The ongoing coronavirus disease 2019 (COVID-19) outbreak, emerged in Wuhan, China in the end of 2019, has claimed more than 2600 lives as of 24 February 2020 and posed a huge threat to global public health. The Chinese government has implemented control measures including setting up special hospitals and travel restriction to mitigate the spread. We propose conceptual models for the COVID-19 outbreak in Wuhan with the consideration of individual behavioural reaction and governmental actions, e.g., holiday extension, travel restriction, hospitalisation and quarantine. We employe the estimates of these two key components from the 1918 influenza pandemic in London, United Kingdom, incorporated zoonotic introductions and the emigration, and then compute future trends and the reporting ratio. The model is concise in structure, and it successfully captures the course of the COVID-19 outbreak, and thus sheds light on understanding the trends of the outbreak.</AbstractText><CopyrightInformation>Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lin</LastName><ForeName>Qianying</ForeName><Initials>Q</Initials><AffiliationInfo><Affiliation>Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, USA. Electronic address: qianying@umich.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhao</LastName><ForeName>Shi</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of Chinese University of Hong Kong, Shenzhen, China. Electronic address: shi.zhao@link.cuhk.edu.hk.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gao</LastName><ForeName>Daozhou</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Mathematics and Science College, Shanghai Normal University, Shanghai, China. Electronic address: dzgao@shnu.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lou</LastName><ForeName>Yijun</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: yijun.lou@polyu.edu.hk.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Shu</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address: sishiyu1978@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Musa</LastName><ForeName>Salihu S</ForeName><Initials>SS</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: salihu-sabiu.musa@connect.polyu.hk.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Maggie H</ForeName><Initials>MH</Initials><AffiliationInfo><Affiliation>JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of Chinese University of Hong Kong, Shenzhen, China. Electronic address: maggiew@cuhk.edu.hk.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cai</LastName><ForeName>Yongli</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: yonglicai@hytc.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Weiming</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: weimingwang2003@163.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Lin</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>School of Nursing, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: l.yang@polyu.edu.hk.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>He</LastName><ForeName>Daihai</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: daihai.he@polyu.edu.hk.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>03</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>Canada</Country><MedlineTA>Int J Infect Dis</MedlineTA><NlmUniqueID>9610933</NlmUniqueID><ISSNLinking>1201-9712</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="Y">Disease Outbreaks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006076" MajorTopicYN="N">Government</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D033161" MajorTopicYN="N">Government Regulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D064149" MajorTopicYN="N">Influenza Pandemic, 1918-1919</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="Y">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="N">Public Health</DescriptorName><QualifierName UI="Q000331" MajorTopicYN="Y">legislation & jurisprudence</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011790" MajorTopicYN="N">Quarantine</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014195" MajorTopicYN="N">Travel</DescriptorName><QualifierName UI="Q000331" MajorTopicYN="N">legislation & jurisprudence</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006113" MajorTopicYN="N" Type="Geographic">United Kingdom</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">City lockdown</Keyword><Keyword MajorTopicYN="N">Epidemic</Keyword><Keyword MajorTopicYN="N">Governmental action</Keyword><Keyword MajorTopicYN="N">Individual reaction</Keyword><Keyword MajorTopicYN="N">Mathematical modelling</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>01</Month><Day>31</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>02</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>02</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>3</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>5</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>3</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32145465</ArticleId><ArticleId IdType="pii">S1201-9712(20)30117-X</ArticleId><ArticleId IdType="doi">10.1016/j.ijid.2020.02.058</ArticleId><ArticleId IdType="pmc">PMC7102659</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000042 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000042 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= PandemieGrippaleV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:32145465
|texte= A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:32145465" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a PandemieGrippaleV1
| This area was generated with Dilib version V0.6.34. |  |