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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.
  • Paireau J; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, Paris, France. juliette.paireau@pasteur.fr.
  • Charpignon ML; Infectious Diseases Department, Santé Publique France, Saint Maurice, France. juliette.paireau@pasteur.fr.
  • Larrieu S; Institute for Data, Systems, and Society (IDSS), Cambridge, MA, USA.
  • Calba C; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
  • Hozé N; University of Bordeaux, Inria Bordeaux Sud-Ouest, Inserm, Bordeaux Population Health Research Center, SISTM Team, UMR1219, Bordeaux, France.
  • Boëlle PY; Regions Department, Regional Office Nouvelle-Aquitaine, Santé publique France, Bordeaux, France.
  • Thiebaut R; Regions Department, Regional Office Provence-Alps-French Riviera and Corsica, Santé Publique France, Marseille, France.
  • Prague M; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, CNRS UMR 2000, Paris, France.
  • Cauchemez S; INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
BMC Infect Dis ; 23(1): 190, 2023 Mar 30.
Article in English | MEDLINE | ID: covidwho-2275368
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Europa Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2023 Document Type: Article Affiliation country: S12879-023-08106-1

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Europa Language: English Journal: BMC Infect Dis Journal subject: Communicable Diseases Year: 2023 Document Type: Article Affiliation country: S12879-023-08106-1