Ontology highlight
ABSTRACT: Background
Identifying cases at higher risk for severe COVID-19 outcomes is essential for tailoring interventions for prevention and treatment. We aimed to determine the factors related to hospitalisation, intensive care unit (ICU) admission, use of ventilatory support, and mortality in four Latin American countries.Methods
We conducted a retrospective study using national COVID-19 surveillance databases from Argentina, Brazil, Colombia, and Mexico, covering the period from January 2021 to December 2022. We used multivariate logistic regression models to identify factors associated with hospitalisation, ICU admission, ventilatory support, and death, adjusting for confounding variables.Results
We included 34 955 384 confirmed cases in the analysis. Age and sex were s
SUBMITTER: Julian GS
PROVIDER: S-EPMC12035972 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature