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

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 requir...

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Autores principales: Bosetti, Paolo, Kiem, Cécile Tran, Yazdanpanah, Yazdan, Fontanet, Arnaud, Lina, Bruno, Colizza, Vittoria, Cauchemez, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2021
Materias:
Rapid Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791601/
https://www.ncbi.nlm.nih.gov/pubmed/33413741
http://dx.doi.org/10.2807/1560-7917.ES.2020.26.1.2001978
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author Bosetti, Paolo
Kiem, Cécile Tran
Yazdanpanah, Yazdan
Fontanet, Arnaud
Lina, Bruno
Colizza, Vittoria
Cauchemez, Simon
author_facet Bosetti, Paolo
Kiem, Cécile Tran
Yazdanpanah, Yazdan
Fontanet, Arnaud
Lina, Bruno
Colizza, Vittoria
Cauchemez, Simon
author_sort Bosetti, Paolo
collection PubMed
description 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.
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spelling pubmed-77916012021-01-11 Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France Bosetti, Paolo Kiem, Cécile Tran Yazdanpanah, Yazdan Fontanet, Arnaud Lina, Bruno Colizza, Vittoria Cauchemez, Simon Euro Surveill Rapid Communication 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. European Centre for Disease Prevention and Control (ECDC) 2021-01-07 /pmc/articles/PMC7791601/ /pubmed/33413741 http://dx.doi.org/10.2807/1560-7917.ES.2020.26.1.2001978 Text en This article is copyright of the authors or their affiliated institutions, 2021. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Rapid Communication
Bosetti, Paolo
Kiem, Cécile Tran
Yazdanpanah, Yazdan
Fontanet, Arnaud
Lina, Bruno
Colizza, Vittoria
Cauchemez, Simon
Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France
title Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France
title_full Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France
title_fullStr Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France
title_full_unstemmed Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France
title_short Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France
title_sort impact of mass testing during an epidemic rebound of sars-cov-2: a modelling study using the example of france
topic Rapid Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791601/
https://www.ncbi.nlm.nih.gov/pubmed/33413741
http://dx.doi.org/10.2807/1560-7917.ES.2020.26.1.2001978
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