SrasV1, Main, Exploration, bibRecord, 000000

Estimating the burden of SARS-CoV-2 in France

Identifieur interne : 000000 ( Main/Exploration ); suivant : 000001

Estimating the burden of SARS-CoV-2 in France

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

Source :

RBID : Hal:pasteur-02548181

Descripteurs français

Wicri :
- topic : épidémiologie.

English descriptors

mix :
- COVID-19, Epidemiology, Modeling Method, SARS-CoV-2.

Abstract

France has been heavily affected by the SARS-CoV-2 epidemic and went into lockdown on the 17th March 2020. Using models applied to hospital and death data, we estimate the impact of the lockdown and current population immunity. We find 2.6% of infected individuals are hospitalized and 0.53% die, ranging from 0.001% in those <20y to 8.3% in those >80y. Across all ages, men are more likely to be hospitalized, enter intensive care, and die than women. The lockdown reduced the reproductive number from 3.3 to 0.5 (84% reduction). By 11 May, when interventions are scheduled to be eased, we project 3.7 million (range: 2.3-6.7) people, 5.7% of the population, will have been infected. Population immunity appears insufficient to avoid a second wave if all control measures are released at the end of the lockdown

Url:

https://hal-pasteur.archives-ouvertes.fr/pasteur-02548181

Affiliations:

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

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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="Boelle, Pierre Yves" sort="Boelle, Pierre Yves" uniqKey="Boelle P" first="Pierre-Yves" last="Boëlle">Pierre-Yves Boëlle</name>
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<author><name sortKey="Cauchemez, Simon" sort="Cauchemez, Simon" uniqKey="Cauchemez S" first="Simon" last="Cauchemez">Simon Cauchemez</name>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>COVID-19</term>
<term>Epidemiology</term>
<term>Modeling Method</term>
<term>SARS-CoV-2</term>
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<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>épidémiologie</term>
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<front><div type="abstract" xml:lang="en">              <p>France has been heavily affected by the SARS-CoV-2 epidemic and went into lockdown on the 17th March 2020. Using models applied to hospital and death data, we estimate the impact of the lockdown and current population immunity. We find 2.6% of infected individuals are hospitalized and 0.53% die, ranging from 0.001% in those <20y to 8.3% in those >80y. Across all ages, men are more likely to be hospitalized, enter intensive care, and die than women. The lockdown reduced the reproductive number from 3.3 to 0.5 (84% reduction). By 11 May, when interventions are scheduled to be eased, we project 3.7 million (range: 2.3-6.7) people, 5.7% of the population, will have been infected. Population immunity appears insufficient to avoid a second wave if all control measures are released at the end of the lockdown</p>
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<tree><country name="France"><noRegion><name sortKey="Salje, Henrik" sort="Salje, Henrik" uniqKey="Salje H" first="Henrik" last="Salje">Henrik Salje</name>
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<name sortKey="Andronico, Alessio" sort="Andronico, Alessio" uniqKey="Andronico A" first="Alessio" last="Andronico">Alessio Andronico</name>
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<name sortKey="Bosetti, Paolo" sort="Bosetti, Paolo" uniqKey="Bosetti P" first="Paolo" last="Bosetti">Paolo Bosetti</name>
<name sortKey="Bruhl, Daniel" sort="Bruhl, Daniel" uniqKey="Bruhl D" first="Daniel" last="Bruhl">Daniel Bruhl</name>
<name sortKey="Cauchemez, Simon" sort="Cauchemez, Simon" uniqKey="Cauchemez S" first="Simon" last="Cauchemez">Simon Cauchemez</name>
<name sortKey="Courtejoie, Noemie" sort="Courtejoie, Noemie" uniqKey="Courtejoie N" first="Noémie" last="Courtejoie">Noémie Courtejoie</name>
<name sortKey="Dubost, Claire Lise" sort="Dubost, Claire Lise" uniqKey="Dubost C" first="Claire-Lise" last="Dubost">Claire-Lise Dubost</name>
<name sortKey="Fontanet, Arnaud" sort="Fontanet, Arnaud" uniqKey="Fontanet A" first="Arnaud" last="Fontanet">Arnaud Fontanet</name>
<name sortKey="Hoze, Nathanael" sort="Hoze, Nathanael" uniqKey="Hoze N" first="Nathanaël" last="Hoze">Nathanaël Hoze</name>
<name sortKey="Le Strat, Yann" sort="Le Strat, Yann" uniqKey="Le Strat Y" first="Yann" last="Le Strat">Yann Le Strat</name>
<name sortKey="Lefrancq, Noemie" sort="Lefrancq, Noemie" uniqKey="Lefrancq N" first="Noémie" last="Lefrancq">Noémie Lefrancq</name>
<name sortKey="Opatowski, Lulla" sort="Opatowski, Lulla" uniqKey="Opatowski L" first="Lulla" last="Opatowski">Lulla Opatowski</name>
<name sortKey="Paireau, Juliette" sort="Paireau, Juliette" uniqKey="Paireau J" first="Juliette" last="Paireau">Juliette Paireau</name>
<name sortKey="Richet, Jehanne" sort="Richet, Jehanne" uniqKey="Richet J" first="Jehanne" last="Richet">Jehanne Richet</name>
<name sortKey="Tran Kiem, Cecile" sort="Tran Kiem, Cecile" uniqKey="Tran Kiem C" first="Cécile" last="Tran Kiem">Cécile Tran Kiem</name>
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<country name="États-Unis"><noRegion><name sortKey="Lessler, Justin" sort="Lessler, Justin" uniqKey="Lessler J" first="Justin" last="Lessler">Justin Lessler</name>
</noRegion>
</country>
</tree>
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Estimating the burden of SARS-CoV-2 in France

Estimating the burden of SARS-CoV-2 in France

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