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The French Covid-19 vaccination policy did not solve vaccination inequities: a nationwide study on 64.5 million people

Authors :
Florence Débarre
Emmanuel Lecoeur
Lucie Guimier
Marie Jauffret-Roustide
Anne-Sophie Jannot
Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris )
Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Sciences de l’information au service de la médecine personnalisée = Information Sciences to support Personalized Medicine [CRC]
Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138))
École Pratique des Hautes Études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité)-École Pratique des Hautes Études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité)
Hôpital Européen Georges Pompidou [APHP] (HEGP)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)
Institut français de géopolitique (IFG )
Centre d'études des mondes russe, caucasien et centre-européen (CERCEC)
École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)-Centre d'études turques, ottomanes, balkaniques et centrasiatiques (CETOBaC)
École des hautes études en sciences sociales (EHESS)-Collège de France (CdF (institution))-Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF (institution))-Centre National de la Recherche Scientifique (CNRS)-Centre de recherches et d'analyses géopolitiques (CRAG)
Université Paris 8 Vincennes-Saint-Denis (UP8)-Université Paris 8 Vincennes-Saint-Denis (UP8)
Centre d'étude des mouvements sociaux (CEMS)
École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)
Baldy Center for Law and Social Policy
University at Buffalo [SUNY] (SUNY Buffalo)
State University of New York (SUNY)-State University of New York (SUNY)
British Columbia Centre on Substance Use [Vancouver, BC, Canada] (BCCSU)
Université Paris Cité (UPCité)
Health data- and model- driven Knowledge Acquisition (HeKA)
Inria de Paris
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138))
Débarre, Florence
Source :
European Journal of Public Health, European Journal of Public Health, 2022, European Journal of Public Health, 2022, 32 (5), pp.825--830. ⟨10.1093/eurpub/ckac125⟩
Publication Year :
2022

Abstract

Background To encourage Covid-19 vaccination, France introduced during the Summer 2021 a ‘Sanitary Pass’, which morphed into a ‘Vaccine Pass’ in early 2022. While the sanitary pass led to an increase in Covid-19 vaccination rates, spatial heterogeneities in vaccination rates remained. To identify potential determinants of these heterogeneities and evaluate the French sanitary and vaccine passes’ efficacies in reducing them, we used a data-driven approach on exhaustive nationwide data, gathering 141 socio-economic, political and geographic indicators. Methods We considered the association between vaccination rates and each indicator at different time points: before the sanitary pass announcement (week 2021-W27), before the sanitary pass came into force (week 2021-W31) and 1 month after (week 2021-W35) and the equivalent dates for the vaccine pass (weeks 2021-W49, 2022-W03 and 2022-W07). Results The indicators most associated with vaccination rates were the share of local income coming from unemployment benefits, overcrowded households rate, immigrants rate and vote for an ‘anti-establishment’ candidate at the 2017 Presidential election. These associations increase over time. Consequently, living in a district below the median of such indicator decreases the probability to be vaccinated by about 30% at the end of the studied period, and this probability gradually decreases by deciles of these indicators. Conclusions Our analysis reveals that factors related to poverty, immigration and trust in the government are strong determinants of vaccination rate, and that vaccination inequities tended to increase after the introduction of the French sanitary and vaccination passes.

Details

ISSN :
1464360X and 11011262
Volume :
32
Issue :
5
Database :
OpenAIRE
Journal :
European journal of public health
Accession number :
edsair.doi.dedup.....dd36bc3c241f627b32ac459ddbdf9869
Full Text :
https://doi.org/10.1093/eurpub/ckac125⟩