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Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France
The COVID-19 epidemic was reported in the Hubei province in China in December 2019 and then spread around the world reaching the pandemic stage at the beginning of March 2020. Since then, several countries went into lockdown. Using a mechanistic-statistical formalism, we estimate the effect of the l...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290065/ https://www.ncbi.nlm.nih.gov/pubmed/32582739 http://dx.doi.org/10.3389/fmed.2020.00274 |
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author | Roques, Lionel Klein, Etienne K. Papaïx, Julien Sar, Antoine Soubeyrand, Samuel |
author_facet | Roques, Lionel Klein, Etienne K. Papaïx, Julien Sar, Antoine Soubeyrand, Samuel |
author_sort | Roques, Lionel |
collection | PubMed |
description | The COVID-19 epidemic was reported in the Hubei province in China in December 2019 and then spread around the world reaching the pandemic stage at the beginning of March 2020. Since then, several countries went into lockdown. Using a mechanistic-statistical formalism, we estimate the effect of the lockdown in France on the contact rate and the effective reproduction number R(e) of the COVID-19. We obtain a reduction by a factor 7 (R(e) = 0.47, 95%-CI: 0.45–0.50), compared to the estimates carried out in France at the early stage of the epidemic. We also estimate the fraction of the population that would be infected by the beginning of May, at the official date at which the lockdown should be relaxed. We find a fraction of 3.7% (95%-CI: 3.0–4.8%) of the total French population, without taking into account the number of recovered individuals before April 1st, which is not known. This proportion is seemingly too low to reach herd immunity. Thus, even if the lockdown strongly mitigated the first epidemic wave, keeping a low value of R(e) is crucial to avoid an uncontrolled second wave (initiated with much more infectious cases than the first wave) and to hence avoid the saturation of hospital facilities. |
format | Online Article Text |
id | pubmed-7290065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72900652020-06-23 Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France Roques, Lionel Klein, Etienne K. Papaïx, Julien Sar, Antoine Soubeyrand, Samuel Front Med (Lausanne) Medicine The COVID-19 epidemic was reported in the Hubei province in China in December 2019 and then spread around the world reaching the pandemic stage at the beginning of March 2020. Since then, several countries went into lockdown. Using a mechanistic-statistical formalism, we estimate the effect of the lockdown in France on the contact rate and the effective reproduction number R(e) of the COVID-19. We obtain a reduction by a factor 7 (R(e) = 0.47, 95%-CI: 0.45–0.50), compared to the estimates carried out in France at the early stage of the epidemic. We also estimate the fraction of the population that would be infected by the beginning of May, at the official date at which the lockdown should be relaxed. We find a fraction of 3.7% (95%-CI: 3.0–4.8%) of the total French population, without taking into account the number of recovered individuals before April 1st, which is not known. This proportion is seemingly too low to reach herd immunity. Thus, even if the lockdown strongly mitigated the first epidemic wave, keeping a low value of R(e) is crucial to avoid an uncontrolled second wave (initiated with much more infectious cases than the first wave) and to hence avoid the saturation of hospital facilities. Frontiers Media S.A. 2020-06-05 /pmc/articles/PMC7290065/ /pubmed/32582739 http://dx.doi.org/10.3389/fmed.2020.00274 Text en Copyright © 2020 Roques, Klein, Papaïx, Sar and Soubeyrand. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Roques, Lionel Klein, Etienne K. Papaïx, Julien Sar, Antoine Soubeyrand, Samuel Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France |
title | Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France |
title_full | Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France |
title_fullStr | Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France |
title_full_unstemmed | Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France |
title_short | Impact of Lockdown on the Epidemic Dynamics of COVID-19 in France |
title_sort | impact of lockdown on the epidemic dynamics of covid-19 in france |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290065/ https://www.ncbi.nlm.nih.gov/pubmed/32582739 http://dx.doi.org/10.3389/fmed.2020.00274 |
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