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Dataset Information

Dynamics of social inequalities in severe COVID-19 outcomes in metropolitan France from 2020 to 2022.


ABSTRACT:

Background

Evidence on the dynamics of social inequalities throughout the COVID-19 healthcare pathway in France is sparse. This study examined the relationship between area-level social deprivation and hospitalizations, intensive care unit (ICU) admissions, and deaths in metropolitan France during five pandemic waves (wave 2: 1 July-16 December 2020, wave 3: 23 December 2020-16 June 2021, wave 4: 23 June-20 October, wave 5: 27 October-2 March 2022, wave 6: 9 March-31 August 2022).

Methods

Using comprehensive data from the French national surveillance hospitalization database, we built spatiotemporal Bayesian Poisson regression models to estimate, for each pandemic wave, Incidence Rate Ratios (IRR) and 95% credible interval (CrI) for the association between outcomes and quint

SUBMITTER: Smaili S 

PROVIDER: S-EPMC12680628 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature