All (vaccine, event) pairs flagged by ≥2 of 4 disproportionality methods (GPS/EBGM, PRR, ROR, IC) across CDC VAERS 1990–2025. The splash shows the top 2000 by Peak EB05 ; use search to find any other pair. Click any row to see the time-course plot.
Vaccine Type groups vaccines by type (COVID19, INFLUENZA, MMR, etc.). Emerging (amber) marks pairs that first appeared in the last 4 quarters of the dataset.
VAERS caveat: VAERS reports are submitted voluntarily; counts reflect reporting rates, not incidence rates. Disproportionate reporting is a statistical hypothesis generator, not evidence of causation. Vaccine-event pairs with large counts may reflect reporting campaigns rather than safety signals.
Bayesian and frequentist disproportionality analysis over CDC VAERS (Vaccine Adverse Event Reporting System) data, 1990–2025. Signals are precomputed offline via the same R/targets pipeline used for faers.mobi and served as read-only parquet for interactive exploration.
VAERS is a national vaccine safety surveillance system jointly managed by the FDA and CDC. Reports are submitted voluntarily by healthcare providers, manufacturers, and the public. VAERS data are released annually at vaers.hhs.gov .
Per-year rolling 4-quarter window with cumulative-fit prior. All (vaccine, event) pairs flagged by ≥2 of 4 methods are included.
VAERS reports are submitted voluntarily. Counts reflect reporting rates, not incidence rates. A disproportionate reporting ratio does not prove causation. Large counts may reflect reporting campaigns, media coverage, or recall bias rather than a true vaccine-event association. Treat signals as hypotheses for further investigation.
For official CDC/FDA vaccine safety assessments, see CDC Vaccine Safety and FDA VAERS page .