CovidFranceV1, Main, Exploration, bibRecord, 001862

A COVID-19 epidemic model with latency period.

Identifieur interne : 001862 ( Main/Exploration ); précédent : 001861; suivant : 001863

A COVID-19 epidemic model with latency period.

Auteurs : Z. Liu [République populaire de Chine] ; P. Magal [France] ; O. Seydi [Sénégal] ; G. Webb [États-Unis]

Source :

Infectious Disease Modelling [ 2468-0427 ] ; 2020.

RBID : pubmed:32346664

Abstract

At the beginning of a COVID-19 infection, there is a period of time known as the exposed or latency period, before an infected person is capable of transmitting the infection to another person. We develop two differential equations models to account for this period. The first is a model that incorporates infected persons in the exposed class, before transmission is possible. The second is a model that incorporates a time delay in infected persons, before transmission is possible. We apply both models to the COVID-19 epidemic in China. We estimate the epidemiological parameters in the models, such as the transmission rate and the basic reproductive number, using data of reported cases. We thus evaluate the role of the exposed or latency period in the dynamics of a COVID-19 epidemic.

DOI: 10.1016/j.idm.2020.03.003
PubMed: 32346664
PubMed Central: PMC7186134

Affiliations:

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

to stream Main, to step Corpus: 001543
to stream Main, to step Curation: 001543

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A COVID-19 epidemic model with latency period.</title>
<author><name sortKey="Liu, Z" sort="Liu, Z" uniqKey="Liu Z" first="Z" last="Liu">Z. Liu</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Mathematical Sciences, Beijing Normal University, Beijing, 100875</wicri:regionArea>
<wicri:noRegion>100875</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Magal, P" sort="Magal, P" uniqKey="Magal P" first="P" last="Magal">P. Magal</name>
<affiliation wicri:level="3"><nlm:affiliation>Univ. Bordeaux, France CNRS, IMB, UMR 5251, F-33400, Talence, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Univ. Bordeaux, France CNRS, IMB, UMR 5251, F-33400, Talence</wicri:regionArea>
<placeName><region type="region" nuts="2">Nouvelle-Aquitaine</region>
<region type="old region" nuts="2">Aquitaine</region>
<settlement type="city">Talence</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Seydi, O" sort="Seydi, O" uniqKey="Seydi O" first="O" last="Seydi">O. Seydi</name>
<affiliation wicri:level="1"><nlm:affiliation>Département Tronc Commun, École Polytechnique de Thiés, Senegal.</nlm:affiliation>
<country xml:lang="fr">Sénégal</country>
<wicri:regionArea>Département Tronc Commun, École Polytechnique de Thiés</wicri:regionArea>
<wicri:noRegion>École Polytechnique de Thiés</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Webb, G" sort="Webb, G" uniqKey="Webb G" first="G" last="Webb">G. Webb</name>
<affiliation wicri:level="2"><nlm:affiliation>Mathematics Department, Vanderbilt University, Nashville, TN, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Mathematics Department, Vanderbilt University, Nashville, TN</wicri:regionArea>
<placeName><region type="state">Tennessee</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32346664</idno>
<idno type="pmid">32346664</idno>
<idno type="doi">10.1016/j.idm.2020.03.003</idno>
<idno type="pmc">PMC7186134</idno>
<idno type="wicri:Area/Main/Corpus">001543</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001543</idno>
<idno type="wicri:Area/Main/Curation">001543</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001543</idno>
<idno type="wicri:Area/Main/Exploration">001543</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">A COVID-19 epidemic model with latency period.</title>
<author><name sortKey="Liu, Z" sort="Liu, Z" uniqKey="Liu Z" first="Z" last="Liu">Z. Liu</name>
<affiliation wicri:level="1"><nlm:affiliation>School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>School of Mathematical Sciences, Beijing Normal University, Beijing, 100875</wicri:regionArea>
<wicri:noRegion>100875</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Magal, P" sort="Magal, P" uniqKey="Magal P" first="P" last="Magal">P. Magal</name>
<affiliation wicri:level="3"><nlm:affiliation>Univ. Bordeaux, France CNRS, IMB, UMR 5251, F-33400, Talence, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Univ. Bordeaux, France CNRS, IMB, UMR 5251, F-33400, Talence</wicri:regionArea>
<placeName><region type="region" nuts="2">Nouvelle-Aquitaine</region>
<region type="old region" nuts="2">Aquitaine</region>
<settlement type="city">Talence</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Seydi, O" sort="Seydi, O" uniqKey="Seydi O" first="O" last="Seydi">O. Seydi</name>
<affiliation wicri:level="1"><nlm:affiliation>Département Tronc Commun, École Polytechnique de Thiés, Senegal.</nlm:affiliation>
<country xml:lang="fr">Sénégal</country>
<wicri:regionArea>Département Tronc Commun, École Polytechnique de Thiés</wicri:regionArea>
<wicri:noRegion>École Polytechnique de Thiés</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Webb, G" sort="Webb, G" uniqKey="Webb G" first="G" last="Webb">G. Webb</name>
<affiliation wicri:level="2"><nlm:affiliation>Mathematics Department, Vanderbilt University, Nashville, TN, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Mathematics Department, Vanderbilt University, Nashville, TN</wicri:regionArea>
<placeName><region type="state">Tennessee</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">Infectious Disease Modelling</title>
<idno type="eISSN">2468-0427</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">At the beginning of a COVID-19 infection, there is a period of time known as the exposed or latency period, before an infected person is capable of transmitting the infection to another person. We develop two differential equations models to account for this period. The first is a model that incorporates infected persons in the exposed class, before transmission is possible. The second is a model that incorporates a time delay in infected persons, before transmission is possible. We apply both models to the COVID-19 epidemic in China. We estimate the epidemiological parameters in the models, such as the transmission rate and the basic reproductive number, using data of reported cases. We thus evaluate the role of the exposed or latency period in the dynamics of a COVID-19 epidemic.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">32346664</PMID>
<DateRevised><Year>2020</Year>
<Month>08</Month>
<Day>25</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">2468-0427</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>5</Volume>
<PubDate><Year>2020</Year>
</PubDate>
</JournalIssue>
<Title>Infectious Disease Modelling</Title>
<ISOAbbreviation>Infect Dis Model</ISOAbbreviation>
</Journal>
<ArticleTitle>A COVID-19 epidemic model with latency period.</ArticleTitle>
<Pagination><MedlinePgn>323-337</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.idm.2020.03.003</ELocationID>
<Abstract><AbstractText>At the beginning of a COVID-19 infection, there is a period of time known as the exposed or latency period, before an infected person is capable of transmitting the infection to another person. We develop two differential equations models to account for this period. The first is a model that incorporates infected persons in the exposed class, before transmission is possible. The second is a model that incorporates a time delay in infected persons, before transmission is possible. We apply both models to the COVID-19 epidemic in China. We estimate the epidemiological parameters in the models, such as the transmission rate and the basic reproductive number, using data of reported cases. We thus evaluate the role of the exposed or latency period in the dynamics of a COVID-19 epidemic.</AbstractText>
<CopyrightInformation>© 2020 The Authors.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Z</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Magal</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Univ. Bordeaux, France CNRS, IMB, UMR 5251, F-33400, Talence, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Seydi</LastName>
<ForeName>O</ForeName>
<Initials>O</Initials>
<AffiliationInfo><Affiliation>Département Tronc Commun, École Polytechnique de Thiés, Senegal.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Webb</LastName>
<ForeName>G</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Mathematics Department, Vanderbilt University, Nashville, TN, USA.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>04</Month>
<Day>28</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>China</Country>
<MedlineTA>Infect Dis Model</MedlineTA>
<NlmUniqueID>101692406</NlmUniqueID>
<ISSNLinking>2468-0427</ISSNLinking>
</MedlineJournalInfo>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Corona virus</Keyword>
<Keyword MajorTopicYN="N">Epidemic mathematical model</Keyword>
<Keyword MajorTopicYN="N">Isolation</Keyword>
<Keyword MajorTopicYN="N">Public closings</Keyword>
<Keyword MajorTopicYN="N">Quarantine</Keyword>
<Keyword MajorTopicYN="N">Reported and unreported cases</Keyword>
</KeywordList>
<CoiStatement>The authors declare no conflict of interest.</CoiStatement>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>03</Month>
<Day>23</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>03</Month>
<Day>25</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>03</Month>
<Day>25</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>4</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>4</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>1</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>4</Month>
<Day>30</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32346664</ArticleId>
<ArticleId IdType="doi">10.1016/j.idm.2020.03.003</ArticleId>
<ArticleId IdType="pii">S2468-0427(20)30009-9</ArticleId>
<ArticleId IdType="pmc">PMC7186134</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>France</li>
<li>République populaire de Chine</li>
<li>Sénégal</li>
<li>États-Unis</li>
</country>
<region><li>Aquitaine</li>
<li>Nouvelle-Aquitaine</li>
<li>Tennessee</li>
</region>
<settlement><li>Talence</li>
</settlement>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Liu, Z" sort="Liu, Z" uniqKey="Liu Z" first="Z" last="Liu">Z. Liu</name>
</noRegion>
</country>
<country name="France"><region name="Nouvelle-Aquitaine"><name sortKey="Magal, P" sort="Magal, P" uniqKey="Magal P" first="P" last="Magal">P. Magal</name>
</region>
</country>
<country name="Sénégal"><noRegion><name sortKey="Seydi, O" sort="Seydi, O" uniqKey="Seydi O" first="O" last="Seydi">O. Seydi</name>
</noRegion>
</country>
<country name="États-Unis"><region name="Tennessee"><name sortKey="Webb, G" sort="Webb, G" uniqKey="Webb G" first="G" last="Webb">G. Webb</name>
</region>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidFranceV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001862 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001862 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidFranceV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32346664
   |texte=   A COVID-19 epidemic model with latency period.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32346664" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidFranceV1

This area was generated with Dilib version V0.6.37.
Data generation: Tue Oct 6 23:31:36 2020. Site generation: Fri Feb 12 22:48:37 2021

	Serveur d'exploration sur la COVID en France
	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 la COVID en France

A COVID-19 epidemic model with latency period.

A COVID-19 epidemic model with latency period.

Source :

Abstract

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

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