The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France.
Identifieur interne : 001479 ( Main/Corpus ); précédent : 001478; suivant : 001480The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France.
Auteurs : Chloé Dimeglio ; Jean-Michel Loubes ; Benjamin Deporte ; Martine Dubois ; Justine Latour ; Jean-Michel Mansuy ; Jacques IzopetSource :
- The Journal of infection [ 1532-2742 ] ; 2020.
English descriptors
- KwdEn :
- Betacoronavirus (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Coronavirus Infections (transmission), France (epidemiology), Humans (MeSH), Infection Control (methods), Models, Statistical (MeSH), Pandemics (prevention & control), Pandemics (statistics & numerical data), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Pneumonia, Viral (transmission), Seroepidemiologic Studies (MeSH).
- MESH :
- geographic , epidemiology : France.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- methods : Infection Control.
- prevention & control : Coronavirus Infections, Pandemics, Pneumonia, Viral.
- statistics & numerical data : Pandemics.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- Betacoronavirus, Humans, Models, Statistical, Seroepidemiologic Studies.
Abstract
A new virus, SARS-CoV-2, has spread world-wide since December 2019, probably affecting millions of people and killing thousands. Failure to anticipate the spread of the virus now seriously threatens many health systems. We have designed a model for predicting the evolution of the SARS-CoV-2 epidemic in France, which is based on seroprevalence and makes it possible to anticipate the deconfinement strategy.
DOI: 10.1016/j.jinf.2020.04.031
PubMed: 32360497
PubMed Central: PMC7189187
Links to Exploration step
pubmed:32360497Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France.</title>
<author><name sortKey="Dimeglio, Chloe" sort="Dimeglio, Chloe" uniqKey="Dimeglio C" first="Chloé" last="Dimeglio">Chloé Dimeglio</name>
<affiliation><nlm:affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France. Electronic address: dimeglio.c@chu-toulouse.fr.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Loubes, Jean Michel" sort="Loubes, Jean Michel" uniqKey="Loubes J" first="Jean-Michel" last="Loubes">Jean-Michel Loubes</name>
<affiliation><nlm:affiliation>Université de Toulouse, Institut de Mathématiques de Toulouse, Toulouse 31400, France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Deporte, Benjamin" sort="Deporte, Benjamin" uniqKey="Deporte B" first="Benjamin" last="Deporte">Benjamin Deporte</name>
<affiliation><nlm:affiliation>Université de Toulouse, Institut de Mathématiques de Toulouse, Toulouse 31400, France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Dubois, Martine" sort="Dubois, Martine" uniqKey="Dubois M" first="Martine" last="Dubois">Martine Dubois</name>
<affiliation><nlm:affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Latour, Justine" sort="Latour, Justine" uniqKey="Latour J" first="Justine" last="Latour">Justine Latour</name>
<affiliation><nlm:affiliation>CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Mansuy, Jean Michel" sort="Mansuy, Jean Michel" uniqKey="Mansuy J" first="Jean-Michel" last="Mansuy">Jean-Michel Mansuy</name>
<affiliation><nlm:affiliation>CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Izopet, Jacques" sort="Izopet, Jacques" uniqKey="Izopet J" first="Jacques" last="Izopet">Jacques Izopet</name>
<affiliation><nlm:affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</nlm:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32360497</idno>
<idno type="pmid">32360497</idno>
<idno type="doi">10.1016/j.jinf.2020.04.031</idno>
<idno type="pmc">PMC7189187</idno>
<idno type="wicri:Area/Main/Corpus">001479</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001479</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France.</title>
<author><name sortKey="Dimeglio, Chloe" sort="Dimeglio, Chloe" uniqKey="Dimeglio C" first="Chloé" last="Dimeglio">Chloé Dimeglio</name>
<affiliation><nlm:affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France. Electronic address: dimeglio.c@chu-toulouse.fr.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Loubes, Jean Michel" sort="Loubes, Jean Michel" uniqKey="Loubes J" first="Jean-Michel" last="Loubes">Jean-Michel Loubes</name>
<affiliation><nlm:affiliation>Université de Toulouse, Institut de Mathématiques de Toulouse, Toulouse 31400, France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Deporte, Benjamin" sort="Deporte, Benjamin" uniqKey="Deporte B" first="Benjamin" last="Deporte">Benjamin Deporte</name>
<affiliation><nlm:affiliation>Université de Toulouse, Institut de Mathématiques de Toulouse, Toulouse 31400, France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Dubois, Martine" sort="Dubois, Martine" uniqKey="Dubois M" first="Martine" last="Dubois">Martine Dubois</name>
<affiliation><nlm:affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Latour, Justine" sort="Latour, Justine" uniqKey="Latour J" first="Justine" last="Latour">Justine Latour</name>
<affiliation><nlm:affiliation>CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Mansuy, Jean Michel" sort="Mansuy, Jean Michel" uniqKey="Mansuy J" first="Jean-Michel" last="Mansuy">Jean-Michel Mansuy</name>
<affiliation><nlm:affiliation>CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Izopet, Jacques" sort="Izopet, Jacques" uniqKey="Izopet J" first="Jacques" last="Izopet">Jacques Izopet</name>
<affiliation><nlm:affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</nlm:affiliation>
</affiliation>
</author>
</analytic>
<series><title level="j">The Journal of infection</title>
<idno type="eISSN">1532-2742</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Betacoronavirus (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (prevention & control)</term>
<term>Coronavirus Infections (transmission)</term>
<term>France (epidemiology)</term>
<term>Humans (MeSH)</term>
<term>Infection Control (methods)</term>
<term>Models, Statistical (MeSH)</term>
<term>Pandemics (prevention & control)</term>
<term>Pandemics (statistics & numerical data)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (prevention & control)</term>
<term>Pneumonia, Viral (transmission)</term>
<term>Seroepidemiologic Studies (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>France</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Infection Control</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Pandemics</term>
</keywords>
<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Betacoronavirus</term>
<term>Humans</term>
<term>Models, Statistical</term>
<term>Seroepidemiologic Studies</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">A new virus, SARS-CoV-2, has spread world-wide since December 2019, probably affecting millions of people and killing thousands. Failure to anticipate the spread of the virus now seriously threatens many health systems. We have designed a model for predicting the evolution of the SARS-CoV-2 epidemic in France, which is based on seroprevalence and makes it possible to anticipate the deconfinement strategy.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32360497</PMID>
<DateCompleted><Year>2020</Year>
<Month>08</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>08</Month>
<Day>10</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1532-2742</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>81</Volume>
<Issue>2</Issue>
<PubDate><Year>2020</Year>
<Month>Aug</Month>
</PubDate>
</JournalIssue>
<Title>The Journal of infection</Title>
<ISOAbbreviation>J. Infect.</ISOAbbreviation>
</Journal>
<ArticleTitle>The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France.</ArticleTitle>
<Pagination><MedlinePgn>318-356</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0163-4453(20)30242-5</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jinf.2020.04.031</ELocationID>
<Abstract><AbstractText>A new virus, SARS-CoV-2, has spread world-wide since December 2019, probably affecting millions of people and killing thousands. Failure to anticipate the spread of the virus now seriously threatens many health systems. We have designed a model for predicting the evolution of the SARS-CoV-2 epidemic in France, which is based on seroprevalence and makes it possible to anticipate the deconfinement strategy.</AbstractText>
<CopyrightInformation>Copyright © 2020 Elsevier Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Dimeglio</LastName>
<ForeName>Chloé</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France. Electronic address: dimeglio.c@chu-toulouse.fr.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Loubes</LastName>
<ForeName>Jean-Michel</ForeName>
<Initials>JM</Initials>
<AffiliationInfo><Affiliation>Université de Toulouse, Institut de Mathématiques de Toulouse, Toulouse 31400, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Deporte</LastName>
<ForeName>Benjamin</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Université de Toulouse, Institut de Mathématiques de Toulouse, Toulouse 31400, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dubois</LastName>
<ForeName>Martine</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Latour</LastName>
<ForeName>Justine</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Mansuy</LastName>
<ForeName>Jean-Michel</ForeName>
<Initials>JM</Initials>
<AffiliationInfo><Affiliation>CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Izopet</LastName>
<ForeName>Jacques</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>UMR Inserm, U1043; UMR CNRS, U5282, Centre de Physiopathologie de Toulouse Purpan (CPTP), Toulouse 31300, France; CHU Toulouse, Hôpital Purpan, Virology Laboratory, 31300 France.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016422">Letter</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>04</Month>
<Day>29</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>J Infect</MedlineTA>
<NlmUniqueID>7908424</NlmUniqueID>
<ISSNLinking>0163-4453</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="Y">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017053" MajorTopicYN="Y">Infection Control</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016036" MajorTopicYN="N">Seroepidemiologic Studies</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">SARS-CoV-2</Keyword>
<Keyword MajorTopicYN="N">deconfinement</Keyword>
<Keyword MajorTopicYN="N">seroprevalence</Keyword>
<Keyword MajorTopicYN="N">statistical model</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>04</Month>
<Day>15</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>04</Month>
<Day>21</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>04</Month>
<Day>22</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>5</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>8</Month>
<Day>7</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>5</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32360497</ArticleId>
<ArticleId IdType="pii">S0163-4453(20)30242-5</ArticleId>
<ArticleId IdType="doi">10.1016/j.jinf.2020.04.031</ArticleId>
<ArticleId IdType="pmc">PMC7189187</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidFranceV1/Data/Main/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001479 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd -nk 001479 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= CovidFranceV1 |flux= Main |étape= Corpus |type= RBID |clé= pubmed:32360497 |texte= The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/RBID.i -Sk "pubmed:32360497" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd \ | NlmPubMed2Wicri -a CovidFranceV1
This area was generated with Dilib version V0.6.37. |