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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.

Association Rules VAERS · CDC/FDA Unsupervised Public Health Python

Poster

VAERS COVID-19 Adverse Events Poster