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Estimating the impact of public health strategies on the spread of SARS‐CoV‐2: Epidemiological modelling for Toulouse, France

The spread of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) and the resulting disease COVID‐19 has killed over 2 million people as of 22 January 2021. We have used a modified susceptible, infected, recovered epidemiological model to predict how the spread of the virus in France will v...

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Autores principales: Dimeglio, Chloé, Miedougé, Marcel, Loubes, Jean‐Michel, Mansuy, Jean‐Michel, Izopet, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8250046/
https://www.ncbi.nlm.nih.gov/pubmed/33713504
http://dx.doi.org/10.1002/rmv.2224
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author Dimeglio, Chloé
Miedougé, Marcel
Loubes, Jean‐Michel
Mansuy, Jean‐Michel
Izopet, Jacques
author_facet Dimeglio, Chloé
Miedougé, Marcel
Loubes, Jean‐Michel
Mansuy, Jean‐Michel
Izopet, Jacques
author_sort Dimeglio, Chloé
collection PubMed
description The spread of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) and the resulting disease COVID‐19 has killed over 2 million people as of 22 January 2021. We have used a modified susceptible, infected, recovered epidemiological model to predict how the spread of the virus in France will vary depending on the public health strategies adopted, including anti‐COVID‐19 vaccination. Our prediction model indicates that the French authorities' adoption of a gradual release from lockdown could lead in March 2021 to a virus prevalence similar to that before lockdown. However, a massive vaccination campaign initiated in January 2021 and the continuation of public health measures over several months could curb the spread of virus and thus relieve the load on hospitals.
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spelling pubmed-82500462021-07-02 Estimating the impact of public health strategies on the spread of SARS‐CoV‐2: Epidemiological modelling for Toulouse, France Dimeglio, Chloé Miedougé, Marcel Loubes, Jean‐Michel Mansuy, Jean‐Michel Izopet, Jacques Rev Med Virol Classic Paper The spread of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) and the resulting disease COVID‐19 has killed over 2 million people as of 22 January 2021. We have used a modified susceptible, infected, recovered epidemiological model to predict how the spread of the virus in France will vary depending on the public health strategies adopted, including anti‐COVID‐19 vaccination. Our prediction model indicates that the French authorities' adoption of a gradual release from lockdown could lead in March 2021 to a virus prevalence similar to that before lockdown. However, a massive vaccination campaign initiated in January 2021 and the continuation of public health measures over several months could curb the spread of virus and thus relieve the load on hospitals. John Wiley and Sons Inc. 2021-03-13 2021-09 /pmc/articles/PMC8250046/ /pubmed/33713504 http://dx.doi.org/10.1002/rmv.2224 Text en © 2021 The Authors. Reviews in Medical Virology published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Classic Paper
Dimeglio, Chloé
Miedougé, Marcel
Loubes, Jean‐Michel
Mansuy, Jean‐Michel
Izopet, Jacques
Estimating the impact of public health strategies on the spread of SARS‐CoV‐2: Epidemiological modelling for Toulouse, France
title Estimating the impact of public health strategies on the spread of SARS‐CoV‐2: Epidemiological modelling for Toulouse, France
title_full Estimating the impact of public health strategies on the spread of SARS‐CoV‐2: Epidemiological modelling for Toulouse, France
title_fullStr Estimating the impact of public health strategies on the spread of SARS‐CoV‐2: Epidemiological modelling for Toulouse, France
title_full_unstemmed Estimating the impact of public health strategies on the spread of SARS‐CoV‐2: Epidemiological modelling for Toulouse, France
title_short Estimating the impact of public health strategies on the spread of SARS‐CoV‐2: Epidemiological modelling for Toulouse, France
title_sort estimating the impact of public health strategies on the spread of sars‐cov‐2: epidemiological modelling for toulouse, france
topic Classic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8250046/
https://www.ncbi.nlm.nih.gov/pubmed/33713504
http://dx.doi.org/10.1002/rmv.2224
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