Decomposing Differences in Coronavirus disease 2019-related Case-Fatality Rates across Seventeen Nations.

ABSTRACT: As of 1 November 2020, estimated case-fatality rates associated with coronavirus disease 2019 are not uniformly patterned across the world and differ substantially in magnitude. Given the global spatial heterogeneity in case-fatality rates, we applied the Blinder-Oaxaca regression decomposition technique to identify how putative sociodemographic, structural, and environmental sources influence variation in case-fatality rates. We show that compositional and associational differences in country-level risk factors explain a substantial proportion of the coronavirus disease 2019-related case-fatality rate gap across nations. Asian countries fair better vis-à-vis case-fatality rate differences mainly due to variation in returns to sociodemographic, structural, and environmental sources among t

SUBMITTER: Kranjac AW 

PROVIDER: S-EPMC8550281 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature