Data for: A practical machine learning approach to identifying adverse effects due to COVID-19 vaccines

This dataset presents the raw data used in the preparation of the article "A practical machine learning approach to identifying adverse effects due to COVID-19 vaccines".
The study aims to elucidate potential connections between various health-related factors and reported adverse effects (AEs) following COVID-19 vaccination. Using the "snowball sampling" method, we collected data from 301 Brazilians participants, both sexes, who underwent COVID-19 vaccination during SARS-COV-2 pandemic. We also collected data from general health status, vaccine type received, sleep quality, physical activity levels, dietary habits, alcohol consumption, history of COVID-19 infection, and the use of chronic medications.
The data file presented is in .SAV format and was prepared using SPSS (Statistical Package for the Social Sciences) software.