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Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France

BACKGROUND: Multiple factors shape the temporal dynamics of the COVID-19 pandemic. Quantifying their relative contributions is key to guide future control strategies. Our objective was to disentangle the individual effects of non-pharmaceutical interventions (NPIs), weather, vaccination, and variant...

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Autores principales: Paireau, Juliette, Charpignon, Marie-Laure, Larrieu, Sophie, Calba, Clémentine, Hozé, Nathanaël, Boëlle, Pierre-Yves, Thiebaut, Rodolphe, Prague, Mélanie, Cauchemez, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061408/
https://www.ncbi.nlm.nih.gov/pubmed/36997873
http://dx.doi.org/10.1186/s12879-023-08106-1
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author Paireau, Juliette
Charpignon, Marie-Laure
Larrieu, Sophie
Calba, Clémentine
Hozé, Nathanaël
Boëlle, Pierre-Yves
Thiebaut, Rodolphe
Prague, Mélanie
Cauchemez, Simon
author_facet Paireau, Juliette
Charpignon, Marie-Laure
Larrieu, Sophie
Calba, Clémentine
Hozé, Nathanaël
Boëlle, Pierre-Yves
Thiebaut, Rodolphe
Prague, Mélanie
Cauchemez, Simon
author_sort Paireau, Juliette
collection PubMed
description BACKGROUND: Multiple factors shape the temporal dynamics of the COVID-19 pandemic. Quantifying their relative contributions is key to guide future control strategies. Our objective was to disentangle the individual effects of non-pharmaceutical interventions (NPIs), weather, vaccination, and variants of concern (VOC) on local SARS-CoV-2 transmission. METHODS: We developed a log-linear model for the weekly reproduction number (R) of hospital admissions in 92 French metropolitan departments. We leveraged (i) the homogeneity in data collection and NPI definitions across departments, (ii) the spatial heterogeneity in the timing of NPIs, and (iii) an extensive observation period (14 months) covering different weather conditions, VOC proportions, and vaccine coverage levels. FINDINGS: Three lockdowns reduced R by 72.7% (95% CI 71.3–74.1), 70.4% (69.2–71.6) and 60.7% (56.4–64.5), respectively. Curfews implemented at 6/7 pm and 8/9 pm reduced R by 34.3% (27.9–40.2) and 18.9% (12.04–25.3), respectively. School closures reduced R by only 4.9% (2.0–7.8). We estimated that vaccination of the entire population would have reduced R by 71.7% (56.4–81.6), whereas the emergence of VOC (mainly Alpha during the study period) increased transmission by 44.6% (36.1–53.6) compared with the historical variant. Winter weather conditions (lower temperature and absolute humidity) increased R by 42.2% (37.3–47.3) compared to summer weather conditions. Additionally, we explored counterfactual scenarios (absence of VOC or vaccination) to assess their impact on hospital admissions. INTERPRETATION: Our study demonstrates the strong effectiveness of NPIs and vaccination and quantifies the role of weather while adjusting for other confounders. It highlights the importance of retrospective evaluation of interventions to inform future decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08106-1.
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spelling pubmed-100614082023-03-30 Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France Paireau, Juliette Charpignon, Marie-Laure Larrieu, Sophie Calba, Clémentine Hozé, Nathanaël Boëlle, Pierre-Yves Thiebaut, Rodolphe Prague, Mélanie Cauchemez, Simon BMC Infect Dis Research Article BACKGROUND: Multiple factors shape the temporal dynamics of the COVID-19 pandemic. Quantifying their relative contributions is key to guide future control strategies. Our objective was to disentangle the individual effects of non-pharmaceutical interventions (NPIs), weather, vaccination, and variants of concern (VOC) on local SARS-CoV-2 transmission. METHODS: We developed a log-linear model for the weekly reproduction number (R) of hospital admissions in 92 French metropolitan departments. We leveraged (i) the homogeneity in data collection and NPI definitions across departments, (ii) the spatial heterogeneity in the timing of NPIs, and (iii) an extensive observation period (14 months) covering different weather conditions, VOC proportions, and vaccine coverage levels. FINDINGS: Three lockdowns reduced R by 72.7% (95% CI 71.3–74.1), 70.4% (69.2–71.6) and 60.7% (56.4–64.5), respectively. Curfews implemented at 6/7 pm and 8/9 pm reduced R by 34.3% (27.9–40.2) and 18.9% (12.04–25.3), respectively. School closures reduced R by only 4.9% (2.0–7.8). We estimated that vaccination of the entire population would have reduced R by 71.7% (56.4–81.6), whereas the emergence of VOC (mainly Alpha during the study period) increased transmission by 44.6% (36.1–53.6) compared with the historical variant. Winter weather conditions (lower temperature and absolute humidity) increased R by 42.2% (37.3–47.3) compared to summer weather conditions. Additionally, we explored counterfactual scenarios (absence of VOC or vaccination) to assess their impact on hospital admissions. INTERPRETATION: Our study demonstrates the strong effectiveness of NPIs and vaccination and quantifies the role of weather while adjusting for other confounders. It highlights the importance of retrospective evaluation of interventions to inform future decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08106-1. BioMed Central 2023-03-30 /pmc/articles/PMC10061408/ /pubmed/36997873 http://dx.doi.org/10.1186/s12879-023-08106-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Paireau, Juliette
Charpignon, Marie-Laure
Larrieu, Sophie
Calba, Clémentine
Hozé, Nathanaël
Boëlle, Pierre-Yves
Thiebaut, Rodolphe
Prague, Mélanie
Cauchemez, Simon
Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France
title Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France
title_full Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France
title_fullStr Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France
title_full_unstemmed Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France
title_short Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France
title_sort impact of non-pharmaceutical interventions, weather, vaccination, and variants on covid-19 transmission across departments in france
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061408/
https://www.ncbi.nlm.nih.gov/pubmed/36997873
http://dx.doi.org/10.1186/s12879-023-08106-1
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