Ontology highlight
ABSTRACT: Background
The COVID-19 pandemic displayed notable disparities in infection and mortality rates across populations, yet socioeconomic factors remain underexplored in many analyses. This study leverages an individual-level dataset from Cali, Colombia, detailing COVID-19 cases, vaccination histories, and mortality outcomes, to examine spatiotemporal vaccination patterns and their effects on mortality.Methods
Using a Bayesian two-part model with generalized linear mixed models, the analysis accounts for endogenous selection, individual heterogeneity, and spatial-temporal dependencies.Results
The findings highlight significant socioeconomic inequalities in vaccination coverage: individuals from higher socioeconomic strata were more likely to receive full vaccination reg
SUBMITTER: Moreno MA
PROVIDER: S-EPMC12860044 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature