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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8250046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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