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Comparing COVID-19 fatality across countries: a synthetic demographic indicator.
Bignami-Van Assche, Simona; Ghio, Daniela.
  • Bignami-Van Assche S; Université de Montréal, Montreal, Canada.
  • Ghio D; European Commission Joint Research Centre, Ispra, Italy.
J Popul Res (Canberra) ; 39(4): 513-525, 2022.
Article in English | MEDLINE | ID: covidwho-2014544
ABSTRACT

Background:

The case fatality rate (CFR) is one of the most important measures for monitoring disease progression and evaluating appropriate policy health measures over the course of the COVID-19 pandemic. To remove biases arising from the age structure of COVID-19 cases in international comparisons of the CFR, existing studies have relied mainly on direct standardisation.

Objective:

We propose and validate a synthetic indicator of COVID-19 fatality (SCFR) that improves its comparability across countries by adjusting for the age and sex structure of COVID-19 cases without relying on the arbitrary choice of a standard population.

Results:

Contrary to what comparisons of the crude CFR suggest, differences in COVID-19 fatality across countries according to the proposed SCFR are not very stark. Importantly, once we adjust for the age structure of COVID-19 cases, the higher case fatality among men emerges as the main driver of international differences in COVID-19 CFR.

Conclusions:

The SCFR is a simple indicator that is useful for monitoring the fatality of SARS-CoV-2 mutations and the efficacy of health policy measures for COVID-19, including vaccination. Contributions (1) A simple synthetic indicator of COVID-19 fatality that improves its comparability across countries by adjusting for the age and sex structure of COVID-19 cases; (2) Evidence that sex differences in COVID-19 fatality drive international differences in the overall CFR.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Vaccines Language: English Journal: J Popul Res (Canberra) Year: 2022 Document Type: Article Affiliation country: S12546-022-09289-1

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Vaccines Language: English Journal: J Popul Res (Canberra) Year: 2022 Document Type: Article Affiliation country: S12546-022-09289-1