Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland.

ABSTRACT: Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30-80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvaccinated first-degree relatives were associated with reduced vaccination. A prediction model combining all predictors achieved good discrimination (area under the receiver operating characteristic curve, 0.801; 95% confidence interval, 0.799-0.803). The 1% of individuals with the highest predicted risk of not vaccinating had an observed vaccination

SUBMITTER: Hartonen T 

PROVIDER: S-EPMC10365990 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature