PandemieGrippaleV1, PubMed, Curation, bibRecord, 000042

A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.

Identifieur interne : 000042 ( PubMed/Curation ); précédent : 000041; suivant : 000043

A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.

Source :

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [ 1878-3511 ] ; 2020.

RBID : pubmed:32145465

Descripteurs français

KwdFr :
- Chine (épidémiologie), Flambées de maladies, Gouvernement, Humains, Infections à coronavirus (épidémiologie), Modèles biologiques, Pandémie de grippe de 1918-1919 (), Pandémies, Pneumopathie virale (épidémiologie), Quarantaine, Royaume-Uni (épidémiologie), Réglementation gouvernementale, Santé publique (législation et jurisprudence), Voyage (législation et jurisprudence).
MESH :
- législation et jurisprudence : Santé publique, Voyage.
- épidémiologie : Chine, Infections à coronavirus, Pneumopathie virale, Royaume-Uni.
- Flambées de maladies, Gouvernement, Humains, Modèles biologiques, Pandémie de grippe de 1918-1919, Pandémies, Quarantaine, Réglementation gouvernementale.
Wicri :
- geographic : République populaire de Chine, Royaume-Uni.

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 toward previous steps (curation, corpus...)

to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000042

Links to Exploration step

pubmed:32145465

Le 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 wicri:level="1"><nlm:affiliation>Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, USA. Electronic address: qianying@umich.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Zhao, Shi" sort="Zhao, Shi" uniqKey="Zhao S" first="Shi" last="Zhao">Shi Zhao</name>
<affiliation wicri:level="1"><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>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>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</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Gao, Daozhou" sort="Gao, Daozhou" uniqKey="Gao D" first="Daozhou" last="Gao">Daozhou Gao</name>
<affiliation wicri:level="1"><nlm:affiliation>Mathematics and Science College, Shanghai Normal University, Shanghai, China. Electronic address: dzgao@shnu.edu.cn.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Mathematics and Science College, Shanghai Normal University, Shanghai</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Lou, Yijun" sort="Lou, Yijun" uniqKey="Lou Y" first="Yijun" last="Lou">Yijun Lou</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: yijun.lou@polyu.edu.hk.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Yang, Shu" sort="Yang, Shu" uniqKey="Yang S" first="Shu" last="Yang">Shu Yang</name>
<affiliation wicri:level="1"><nlm:affiliation>College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address: sishiyu1978@qq.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu</wicri:regionArea>
</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 wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: salihu-sabiu.musa@connect.polyu.hk.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong</wicri:regionArea>
</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 wicri:level="1"><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>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>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</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Cai, Yongli" sort="Cai, Yongli" uniqKey="Cai Y" first="Yongli" last="Cai">Yongli Cai</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: yonglicai@hytc.edu.cn.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Wang, Weiming" sort="Wang, Weiming" uniqKey="Wang W" first="Weiming" last="Wang">Weiming Wang</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: weimingwang2003@163.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Yang, Lin" sort="Yang, Lin" uniqKey="Yang L" first="Lin" last="Yang">Lin Yang</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Nursing, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: l.yang@polyu.edu.hk.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Nursing, Hong Kong Polytechnic University, Hong Kong</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="He, Daihai" sort="He, Daihai" uniqKey="He D" first="Daihai" last="He">Daihai He</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: daihai.he@polyu.edu.hk.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong</wicri:regionArea>
</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>
<idno type="wicri:Area/PubMed/Curation">000042</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">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 wicri:level="1"><nlm:affiliation>Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, USA. Electronic address: qianying@umich.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Zhao, Shi" sort="Zhao, Shi" uniqKey="Zhao S" first="Shi" last="Zhao">Shi Zhao</name>
<affiliation wicri:level="1"><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>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>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</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Gao, Daozhou" sort="Gao, Daozhou" uniqKey="Gao D" first="Daozhou" last="Gao">Daozhou Gao</name>
<affiliation wicri:level="1"><nlm:affiliation>Mathematics and Science College, Shanghai Normal University, Shanghai, China. Electronic address: dzgao@shnu.edu.cn.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Mathematics and Science College, Shanghai Normal University, Shanghai</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Lou, Yijun" sort="Lou, Yijun" uniqKey="Lou Y" first="Yijun" last="Lou">Yijun Lou</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: yijun.lou@polyu.edu.hk.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Yang, Shu" sort="Yang, Shu" uniqKey="Yang S" first="Shu" last="Yang">Shu Yang</name>
<affiliation wicri:level="1"><nlm:affiliation>College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, China. Electronic address: sishiyu1978@qq.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>College of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu</wicri:regionArea>
</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 wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: salihu-sabiu.musa@connect.polyu.hk.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong</wicri:regionArea>
</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 wicri:level="1"><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>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>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</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Cai, Yongli" sort="Cai, Yongli" uniqKey="Cai Y" first="Yongli" last="Cai">Yongli Cai</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: yonglicai@hytc.edu.cn.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Wang, Weiming" sort="Wang, Weiming" uniqKey="Wang W" first="Weiming" last="Wang">Weiming Wang</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an, China. Electronic address: weimingwang2003@163.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Mathematics and Statistics, Huaiyin Normal University, Huai'an</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Yang, Lin" sort="Yang, Lin" uniqKey="Yang L" first="Lin" last="Yang">Lin Yang</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Nursing, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: l.yang@polyu.edu.hk.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Nursing, Hong Kong Polytechnic University, Hong Kong</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="He, Daihai" sort="He, Daihai" uniqKey="He D" first="Daihai" last="He">Daihai He</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China. Electronic address: daihai.he@polyu.edu.hk.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong</wicri:regionArea>
</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="KwdFr" xml:lang="fr"><term>Chine (épidémiologie)</term>
<term>Flambées de maladies</term>
<term>Gouvernement</term>
<term>Humains</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Modèles biologiques</term>
<term>Pandémie de grippe de 1918-1919 ()</term>
<term>Pandémies</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Quarantaine</term>
<term>Royaume-Uni (épidémiologie)</term>
<term>Réglementation gouvernementale</term>
<term>Santé publique (législation et jurisprudence)</term>
<term>Voyage (législation et jurisprudence)</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="législation et jurisprudence" xml:lang="fr"><term>Santé publique</term>
<term>Voyage</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Influenza Pandemic, 1918-1919</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Chine</term>
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Royaume-Uni</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>
<keywords scheme="MESH" xml:lang="fr"><term>Flambées de maladies</term>
<term>Gouvernement</term>
<term>Humains</term>
<term>Modèles biologiques</term>
<term>Pandémie de grippe de 1918-1919</term>
<term>Pandémies</term>
<term>Quarantaine</term>
<term>Réglementation gouvernementale</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term>
<term>Royaume-Uni</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/Curation

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000042 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/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=   Curation
   |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/Curation/RBID.i   -Sk "pubmed:32145465" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd   \
       | NlmPubMed2Wicri -a PandemieGrippaleV1

This area was generated with Dilib version V0.6.34.
Data generation: Wed Jun 10 11:04:28 2020. Site generation: Sun Mar 28 09:10:28 2021

	Serveur d'exploration sur les pandémies grippales
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur les pandémies grippales

A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.

A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki