Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France

Author:

Bosetti Paolo1,Kiem Cécile Tran21,Yazdanpanah Yazdan3,Fontanet Arnaud45,Lina Bruno67,Colizza Vittoria8,Cauchemez Simon1

Affiliation:

1. Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France

2. Collège Doctoral, Sorbonne Université, Paris, France

3. Infections Antimicrobials Modelling Evolution (IAME) UMR 1137, University of Paris, Paris, France

4. PACRI Unit, Conservatoire National des Arts et Métiers, Paris, France

5. Emerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France

6. Virpath Laboratory, International Center of Research in Infectiology, INSERM U1111, CNRS—UMR 5308, École Normale Supérieure de Lyon, Université Claude Bernard Lyon, Lyon University, Lyon, France

7. National Reference Center for Respiratory Viruses, Department of Virology, Infective Agents Institute, North Hospital Network, Lyon, France

8. INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France

Abstract

We used a mathematical model to evaluate the impact of mass testing in the control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Under optimistic assumptions, one round of mass testing may reduce daily infections by up to 20–30%. Consequently, very frequent testing would be required to control a quickly growing epidemic if other control measures were to be relaxed. Mass testing is most relevant when epidemic growth remains limited through a combination of interventions.

Publisher

European Centre for Disease Control and Prevention (ECDC)

Subject

Virology,Public Health, Environmental and Occupational Health,Epidemiology

Reference14 articles.

1. Rethinking Covid-19 test sensitivity - a strategy for containment.;Mina;N Engl J Med,2020

2. Estimating the burden of SARS-CoV-2 in France.;Salje;Science,2020

3. How generation intervals shape the relationship between growth rates and reproductive numbers.;Wallinga;Proc Biol Sci,2007

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