Global food-safety pathogen recall corpus with a statistical overlay

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Global food-safety pathogen recall corpus with a statistical overlay: automated scrapers hit 66 regulator feeds twice daily and four independent AI gap-finders sweep regulator sites between passes, capturing notices from 70+ agencies across 80+ countries (FDA iRES, USDA FSIS, EU RASFF/EFSA, UK FSA, CFIA, FSANZ, MPI NZ, RappelConso, BVL, AESAN, EFET, AGES, NVWA, SFA, HK CFS, MFDS, INVIMA and roughly 48 others). Every record is cross-language normalised so pathogen name variants collapse to one canonical term, severity-tiered, outbreak-flagged, and URL-validated against the regulator domain. A deterministic analytics layer computes Z-scores, chi-squared residuals, 14-day cluster detection, Herfindahl-Hirschman and Gini concentration, a weighted severity index and OLS/CUSUM/Poisson plus Page's CUSUM shift forecasts, which then feed AI-written narratives reviewed under named process authority.