03 — Public Health · Unsupervised Learning
COVID-19 Vaccine Adverse Symptoms — Association Rule Mining
To explore vaccine hesitancy, I analyzed COVID-19 adverse event data from VAERS (CDC/FDA). Using association rule mining, I identified frequent symptom patterns and compared differences in reported adverse events between Moderna and Pfizer vaccines. Key insight: adverse event patterns were broadly similar, suggesting perceived safety differences may be driven more by reporting frequency than fundamentally different symptom profiles.
Poster