CovidFranceV1, Main, Exploration, bibRecord, 001020

Estimating the burden of SARS-CoV-2 in France.

Identifieur interne : 001020 ( Main/Exploration ); précédent : 001019; suivant : 001021

Estimating the burden of SARS-CoV-2 in France.

Auteurs : Henrik Salje [France, Royaume-Uni, États-Unis] ; Cécile Tran Kiem [France] ; Noémie Lefrancq [France] ; Noémie Courtejoie [France] ; Paolo Bosetti [France] ; Juliette Paireau [France] ; Alessio Andronico [France] ; Nathanaël Hozé [France] ; Jehanne Richet [France] ; Claire-Lise Dubost [France] ; Yann Le Strat [France] ; Justin Lessler [États-Unis] ; Daniel Levy-Bruhl [France] ; Arnaud Fontanet [France] ; Lulla Opatowski [France] ; Pierre-Yves Boelle [France] ; Simon Cauchemez [France]

Source :

Science (New York, N.Y.) [ 1095-9203 ] ; 2020.

RBID : pubmed:32404476

Descripteurs français

KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Coûts indirects de la maladie (MeSH), Femelle (MeSH), France (épidémiologie), Hospitalisation (statistiques et données numériques), Humains (MeSH), Immunité (MeSH), Infections à coronavirus (immunologie), Infections à coronavirus (mortalité), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (immunologie), Pneumopathie virale (mortalité), Pneumopathie virale (épidémiologie), Quarantaine (MeSH), Soins de réanimation (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Virus du SRAS (MeSH).
MESH :
- immunologie : Infections à coronavirus, Pneumopathie virale.
- mortalité : Infections à coronavirus, Pneumopathie virale.
- statistiques et données numériques : Hospitalisation.
- épidémiologie : France, Infections à coronavirus, Pneumopathie virale.
- Adolescent, Adulte, Adulte d'âge moyen, Coûts indirects de la maladie, Femelle, Humains, Immunité, Jeune adulte, Mâle, Pandémies, Quarantaine, Soins de réanimation, Sujet âgé, Sujet âgé de 80 ans ou plus, Virus du SRAS.
Wicri :
- geographic : France.

English descriptors

KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (immunology), Coronavirus Infections (mortality), Cost of Illness (MeSH), Critical Care (MeSH), Female (MeSH), France (epidemiology), Hospitalization (statistics & numerical data), Humans (MeSH), Immunity (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (immunology), Pneumonia, Viral (mortality), Quarantine (MeSH), SARS Virus (MeSH), Young Adult (MeSH).
MESH :
- geographic , epidemiology : France.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- immunology : Coronavirus Infections, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Hospitalization.
- Adolescent, Adult, Aged, Aged, 80 and over, Cost of Illness, Critical Care, Female, Humans, Immunity, Male, Middle Aged, Pandemics, Quarantine, SARS Virus, Young Adult.

Abstract

France has been heavily affected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and went into lockdown on 17 March 2020. Using models applied to hospital and death data, we estimate the impact of the lockdown and current population immunity. We find that 2.9% of infected individuals are hospitalized and 0.5% of those infected die (95% credible interval: 0.3 to 0.9%), ranging from 0.001% in those under 20 years of age to 8.3% in those 80 years of age or older. Across all ages, men are more likely to be hospitalized, enter intensive care, and die than women. The lockdown reduced the reproductive number from 2.90 to 0.67 (77% reduction). By 11 May 2020, when interventions are scheduled to be eased, we project that 3.5 million people (range: 2.1 million to 6.0 million), or 5.3% of the population (range: 3.3 to 9.3%), will have been infected. Population immunity appears to be insufficient to avoid a second wave if all control measures are released at the end of the lockdown.

DOI: 10.1126/science.abc3517
PubMed: 32404476
PubMed Central: PMC7223792

Affiliations:

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Le document en format XML

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<author><name sortKey="Opatowski, Lulla" sort="Opatowski, Lulla" uniqKey="Opatowski L" first="Lulla" last="Opatowski">Lulla Opatowski</name>
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<author><name sortKey="Lefrancq, Noemie" sort="Lefrancq, Noemie" uniqKey="Lefrancq N" first="Noémie" last="Lefrancq">Noémie Lefrancq</name>
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<author><name sortKey="Paireau, Juliette" sort="Paireau, Juliette" uniqKey="Paireau J" first="Juliette" last="Paireau">Juliette Paireau</name>
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<country xml:lang="fr">France</country>
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<country xml:lang="fr">France</country>
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<author><name sortKey="Andronico, Alessio" sort="Andronico, Alessio" uniqKey="Andronico A" first="Alessio" last="Andronico">Alessio Andronico</name>
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<country xml:lang="fr">France</country>
<wicri:regionArea>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris</wicri:regionArea>
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<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
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<author><name sortKey="Hoze, Nathanael" sort="Hoze, Nathanael" uniqKey="Hoze N" first="Nathanaël" last="Hozé">Nathanaël Hozé</name>
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<country xml:lang="fr">France</country>
<wicri:regionArea>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
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<author><name sortKey="Richet, Jehanne" sort="Richet, Jehanne" uniqKey="Richet J" first="Jehanne" last="Richet">Jehanne Richet</name>
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<country xml:lang="fr">France</country>
<wicri:regionArea>DREES, Ministère des Solidarités et de la Santé, Paris</wicri:regionArea>
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<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
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<author><name sortKey="Dubost, Claire Lise" sort="Dubost, Claire Lise" uniqKey="Dubost C" first="Claire-Lise" last="Dubost">Claire-Lise Dubost</name>
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<country xml:lang="fr">France</country>
<wicri:regionArea>DREES, Ministère des Solidarités et de la Santé, Paris</wicri:regionArea>
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<author><name sortKey="Le Strat, Yann" sort="Le Strat, Yann" uniqKey="Le Strat Y" first="Yann" last="Le Strat">Yann Le Strat</name>
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<country xml:lang="fr">France</country>
<wicri:regionArea>Santé Publique France, French National Public Health Agency, Saint-Maurice</wicri:regionArea>
<wicri:noRegion>Saint-Maurice</wicri:noRegion>
<wicri:noRegion>Saint-Maurice</wicri:noRegion>
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<author><name sortKey="Lessler, Justin" sort="Lessler, Justin" uniqKey="Lessler J" first="Justin" last="Lessler">Justin Lessler</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD</wicri:regionArea>
<placeName><region type="state">Maryland</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Levy Bruhl, Daniel" sort="Levy Bruhl, Daniel" uniqKey="Levy Bruhl D" first="Daniel" last="Levy-Bruhl">Daniel Levy-Bruhl</name>
<affiliation wicri:level="1"><nlm:affiliation>Santé Publique France, French National Public Health Agency, Saint-Maurice, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Santé Publique France, French National Public Health Agency, Saint-Maurice</wicri:regionArea>
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<wicri:noRegion>Saint-Maurice</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Fontanet, Arnaud" sort="Fontanet, Arnaud" uniqKey="Fontanet A" first="Arnaud" last="Fontanet">Arnaud Fontanet</name>
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<country xml:lang="fr">France</country>
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<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3"><nlm:affiliation>PACRI Unit, Conservatoire National des Arts et Métiers, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>PACRI Unit, Conservatoire National des Arts et Métiers, Paris</wicri:regionArea>
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<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Opatowski, Lulla" sort="Opatowski, Lulla" uniqKey="Opatowski L" first="Lulla" last="Opatowski">Lulla Opatowski</name>
<affiliation wicri:level="3"><nlm:affiliation>Epidemiology and Modelling of Antibiotic Evasion Unit, Institut Pasteur, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Epidemiology and Modelling of Antibiotic Evasion Unit, Institut Pasteur, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Anti-infective Evasion and Pharmacoepidemiology Team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Anti-infective Evasion and Pharmacoepidemiology Team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux</wicri:regionArea>
<wicri:noRegion>Montigny-le-Bretonneux</wicri:noRegion>
<wicri:noRegion>Montigny-le-Bretonneux</wicri:noRegion>
</affiliation>
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<author><name sortKey="Boelle, Pierre Yves" sort="Boelle, Pierre Yves" uniqKey="Boelle P" first="Pierre-Yves" last="Boelle">Pierre-Yves Boelle</name>
<affiliation wicri:level="3"><nlm:affiliation>Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Cauchemez, Simon" sort="Cauchemez, Simon" uniqKey="Cauchemez S" first="Simon" last="Cauchemez">Simon Cauchemez</name>
<affiliation wicri:level="3"><nlm:affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France. simon.cauchemez@pasteur.fr.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris</wicri:regionArea>
<placeName><region type="region">Île-de-France</region>
<region type="old region">Île-de-France</region>
<settlement type="city">Paris</settlement>
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<series><title level="j">Science (New York, N.Y.)</title>
<idno type="eISSN">1095-9203</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (immunology)</term>
<term>Coronavirus Infections (mortality)</term>
<term>Cost of Illness (MeSH)</term>
<term>Critical Care (MeSH)</term>
<term>Female (MeSH)</term>
<term>France (epidemiology)</term>
<term>Hospitalization (statistics & numerical data)</term>
<term>Humans (MeSH)</term>
<term>Immunity (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (immunology)</term>
<term>Pneumonia, Viral (mortality)</term>
<term>Quarantine (MeSH)</term>
<term>SARS Virus (MeSH)</term>
<term>Young Adult (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Coûts indirects de la maladie (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>France (épidémiologie)</term>
<term>Hospitalisation (statistiques et données numériques)</term>
<term>Humains (MeSH)</term>
<term>Immunité (MeSH)</term>
<term>Infections à coronavirus (immunologie)</term>
<term>Infections à coronavirus (mortalité)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (immunologie)</term>
<term>Pneumopathie virale (mortalité)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Quarantaine (MeSH)</term>
<term>Soins de réanimation (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Virus du SRAS (MeSH)</term>
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<term>Pneumonia, Viral</term>
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<term>Pneumopathie virale</term>
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<term>Pneumonia, Viral</term>
</keywords>
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<term>Pneumonia, Viral</term>
</keywords>
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<term>Pneumopathie virale</term>
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<front><div type="abstract" xml:lang="en">France has been heavily affected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and went into lockdown on 17 March 2020. Using models applied to hospital and death data, we estimate the impact of the lockdown and current population immunity. We find that 2.9% of infected individuals are hospitalized and 0.5% of those infected die (95% credible interval: 0.3 to 0.9%), ranging from 0.001% in those under 20 years of age to 8.3% in those 80 years of age or older. Across all ages, men are more likely to be hospitalized, enter intensive care, and die than women. The lockdown reduced the reproductive number from 2.90 to 0.67 (77% reduction). By 11 May 2020, when interventions are scheduled to be eased, we project that 3.5 million people (range: 2.1 million to 6.0 million), or 5.3% of the population (range: 3.3 to 9.3%), will have been infected. Population immunity appears to be insufficient to avoid a second wave if all control measures are released at the end of the lockdown.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32404476</PMID>
<DateCompleted><Year>2020</Year>
<Month>07</Month>
<Day>16</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>08</Month>
<Day>06</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1095-9203</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>369</Volume>
<Issue>6500</Issue>
<PubDate><Year>2020</Year>
<Month>07</Month>
<Day>10</Day>
</PubDate>
</JournalIssue>
<Title>Science (New York, N.Y.)</Title>
<ISOAbbreviation>Science</ISOAbbreviation>
</Journal>
<ArticleTitle>Estimating the burden of SARS-CoV-2 in France.</ArticleTitle>
<Pagination><MedlinePgn>208-211</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1126/science.abc3517</ELocationID>
<Abstract><AbstractText>France has been heavily affected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and went into lockdown on 17 March 2020. Using models applied to hospital and death data, we estimate the impact of the lockdown and current population immunity. We find that 2.9% of infected individuals are hospitalized and 0.5% of those infected die (95% credible interval: 0.3 to 0.9%), ranging from 0.001% in those under 20 years of age to 8.3% in those 80 years of age or older. Across all ages, men are more likely to be hospitalized, enter intensive care, and die than women. The lockdown reduced the reproductive number from 2.90 to 0.67 (77% reduction). By 11 May 2020, when interventions are scheduled to be eased, we project that 3.5 million people (range: 2.1 million to 6.0 million), or 5.3% of the population (range: 3.3 to 9.3%), will have been infected. Population immunity appears to be insufficient to avoid a second wave if all control measures are released at the end of the lockdown.</AbstractText>
<CopyrightInformation>Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="Y"><LastName>Salje</LastName>
<ForeName>Henrik</ForeName>
<Initials>H</Initials>
<Identifier Source="ORCID">0000-0003-3626-4254</Identifier>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Genetics, University of Cambridge, Cambridge, UK.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y"><LastName>Tran Kiem</LastName>
<ForeName>Cécile</ForeName>
<Initials>C</Initials>
<Identifier Source="ORCID">0000-0003-0563-8428</Identifier>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Collège Doctoral, Sorbonne Université, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lefrancq</LastName>
<ForeName>Noémie</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Courtejoie</LastName>
<ForeName>Noémie</ForeName>
<Initials>N</Initials>
<Identifier Source="ORCID">0000-0001-9703-7851</Identifier>
<AffiliationInfo><Affiliation>DREES, Ministère des Solidarités et de la Santé, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bosetti</LastName>
<ForeName>Paolo</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Paireau</LastName>
<ForeName>Juliette</ForeName>
<Initials>J</Initials>
<Identifier Source="ORCID">0000-0002-5143-6256</Identifier>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Santé Publique France, French National Public Health Agency, Saint-Maurice, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Andronico</LastName>
<ForeName>Alessio</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hozé</LastName>
<ForeName>Nathanaël</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Richet</LastName>
<ForeName>Jehanne</ForeName>
<Initials>J</Initials>
<Identifier Source="ORCID">0000-0002-5242-4281</Identifier>
<AffiliationInfo><Affiliation>DREES, Ministère des Solidarités et de la Santé, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dubost</LastName>
<ForeName>Claire-Lise</ForeName>
<Initials>CL</Initials>
<AffiliationInfo><Affiliation>DREES, Ministère des Solidarités et de la Santé, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Le Strat</LastName>
<ForeName>Yann</ForeName>
<Initials>Y</Initials>
<Identifier Source="ORCID">0000-0002-6180-4200</Identifier>
<AffiliationInfo><Affiliation>Santé Publique France, French National Public Health Agency, Saint-Maurice, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lessler</LastName>
<ForeName>Justin</ForeName>
<Initials>J</Initials>
<Identifier Source="ORCID">0000-0002-9741-8109</Identifier>
<AffiliationInfo><Affiliation>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Levy-Bruhl</LastName>
<ForeName>Daniel</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Santé Publique France, French National Public Health Agency, Saint-Maurice, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fontanet</LastName>
<ForeName>Arnaud</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Emerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>PACRI Unit, Conservatoire National des Arts et Métiers, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Opatowski</LastName>
<ForeName>Lulla</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Epidemiology and Modelling of Antibiotic Evasion Unit, Institut Pasteur, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Anti-infective Evasion and Pharmacoepidemiology Team, CESP, Université Paris-Saclay, UVSQ, INSERM U1018, Montigny-le-Bretonneux, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Boelle</LastName>
<ForeName>Pierre-Yves</ForeName>
<Initials>PY</Initials>
<Identifier Source="ORCID">0000-0002-5367-8232</Identifier>
<AffiliationInfo><Affiliation>Institut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cauchemez</LastName>
<ForeName>Simon</ForeName>
<Initials>S</Initials>
<Identifier Source="ORCID">0000-0001-9186-4549</Identifier>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France. simon.cauchemez@pasteur.fr.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>05</Month>
<Day>13</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Science</MedlineTA>
<NlmUniqueID>0404511</NlmUniqueID>
<ISSNLinking>0036-8075</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<CommentsCorrectionsList><CommentsCorrections RefType="ErratumIn"><RefSource>Science. 2020 Jun 26;368(6498):</RefSource>
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<country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Salje, Henrik" sort="Salje, Henrik" uniqKey="Salje H" first="Henrik" last="Salje">Henrik Salje</name>
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Pour manipuler ce document sous Unix (Dilib)

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HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001020 | SxmlIndent | more

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{{Explor lien
   |wiki=    Sante
   |area=    CovidFranceV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32404476
   |texte=   Estimating the burden of SARS-CoV-2 in France.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32404476" \
       | 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

Estimating the burden of SARS-CoV-2 in France.

Estimating the burden of SARS-CoV-2 in France.

Source :

Descripteurs français

English descriptors

Abstract

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