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ABSTRACT: Background
Vaccine uptake is critical to controlling COVID-19 and other infectious diseases, and trust in vaccines is a key determinant of vaccine coverage. This study aims to examine how individual characteristics and primary information sources during the pandemic influenced COVID-19 vaccine trust and uptake.Methods
We performed a secondary analysis of the EPICOVID 2.0 survey, a Brazilian nationwide study (March-April 2024) that used multistage probabilistic sampling. Participants aged 18 or older from the EPICOVID 2.0 study were included in the analyses. Machine learning algorithms were employed to predict COVID-19 vaccine trust and uptake, measuring the influence of each covariate on the predicted probabilities.Findings
Among 29,281 participants (63.9% women; me
SUBMITTER: Coelho LE
PROVIDER: S-EPMC12744256 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature