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Estimating the burden of SARS-CoV-2 in France.
Salje, Henrik; Tran Kiem, Cécile; Lefrancq, Noémie; Courtejoie, Noémie; Bosetti, Paolo; Paireau, Juliette; Andronico, Alessio; Hozé, Nathanaël; Richet, Jehanne; Dubost, Claire-Lise; Le Strat, Yann; Lessler, Justin; Levy-Bruhl, Daniel; Fontanet, Arnaud; Opatowski, Lulla; Boelle, Pierre-Yves; Cauchemez, Simon.
Affiliation
  • Salje H; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Tran Kiem C; Department of Genetics, University of Cambridge, Cambridge, UK.
  • Lefrancq N; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Courtejoie N; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Bosetti P; Collège Doctoral, Sorbonne Université, Paris, France.
  • Paireau J; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Andronico A; DREES, Ministère des Solidarités et de la Santé, Paris, France.
  • Hozé N; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Richet J; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Dubost CL; Santé Publique France, French National Public Health Agency, Saint-Maurice, France.
  • Le Strat Y; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Lessler J; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Levy-Bruhl D; DREES, Ministère des Solidarités et de la Santé, Paris, France.
  • Fontanet A; DREES, Ministère des Solidarités et de la Santé, Paris, France.
  • Opatowski L; Santé Publique France, French National Public Health Agency, Saint-Maurice, France.
  • Boelle PY; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Cauchemez S; Santé Publique France, French National Public Health Agency, Saint-Maurice, France.
Science ; 369(6500): 208-211, 2020 07 10.
Article in En | MEDLINE | ID: mdl-32404476
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia, Viral / Quarantine / Coronavirus Infections / Severe acute respiratory syndrome-related coronavirus Limits: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Journal: Science Year: 2020 Document type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia, Viral / Quarantine / Coronavirus Infections / Severe acute respiratory syndrome-related coronavirus Limits: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Journal: Science Year: 2020 Document type: Article Affiliation country: France