Unknown

Dataset Information

Association between excess mortality due to COVID-19, full vaccination coverage, smoking, hypertension, and gross domestic product per capita/purchasing power parity across 10 Southeast Asian Countries.


ABSTRACT:

Objectives

Mass vaccination and cardiometabolic disorders have been reported to influence COVID-19 prognosis and mortality burden. We applied a generalized linear mixed model (GLMM) to explore the associations between COVID-19 mortality, full vaccination coverage, and cardiometabolic health indicators in Southeast Asia (SEAR).

Methods

A region-wide ecological analysis of aggregate COVID-19 data from 10 SEAR countries (January 2020 to December 2022) was performed. The databases used were from the John Hopkins University Coronavirus Resource Center and the WHO Health Organization. Excess deaths associated with COVID-19 per 100,000 and case fatality rate were the outcome variables. A GLMM was performed to determine the predictors of COVID-19 mortality, and adjustments were made

SUBMITTER: Midon MB 

PROVIDER: S-EPMC11833341 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature