The Cardioprotective Effects of Vaccinations: An Integrative Analysis

Abstract

This study examines the relationship between vaccinations (influenza, pneumonia, tetanus, and COVID-19) and heart disease prevalence using data from the Behavioral Risk Factor Surveillance System (BRFSS). Using logistic regression and Random Forest Classification (RFC) models, the study identified key predictors of cardiovascular disease (CVD). The RFC model demonstrated high accuracy (93.89%) and suggested that vaccinations may reduce CVD risk, though pre-existing health conditions could influence results. The study concludes that vaccinations may be valuable in reducing CVD risk and calls for further research to confirm these findings and understand the mechanisms involved.