kimdaeheuk

AEGIRON — an epidemic forecast system where variant shifts move stockpile verdicts In one sentence: A 10-stage integrated command system that ingests outbreak signals from 178 countries in 52 languages every hour, scores risk, and answers: "Did the new variant invalidate my stockpile, and when does my country reach medical self-sufficiency?" The problem Existing tools work in isolation. Nextstrain shows only the phylogenetic tree, GISAID only sequences, BlueDot only alerts. No system answers the policy questions — "Is my stockpiled countermeasure still effective against the new variant?" or "When is our national self-sufficiency date?" Worse, missing observations get silently recorded as "no change," and verdicts leave no audit trail, so nothing can be verified after the fact. The fix — a 3-ledger spine + 10-stage pipeline 1. Variant ledger: records transitions across lineage × geography × time × evidence layer × risk delta. 2. Countermeasure match ledger: cross-checks threat × stockpile × variant state into a daily "does it stop today" verdict. 3. Country readiness ledger: keeps country × threat × platform preparedness current. Ten stages — from synthetic-threat detection (Stage 0) through AI inference (Stage 7), strategic stockpiling (Stage 8), to the live dashboard (Stage 9) — run as one scenario. Every verdict stays in the ledgers and is scored after the fact against declared baselines and a lead-time ledger. Unknowns are declared "undetermined" — no fabrication, no deletion. The result: paste a sequence and get measured indicators plus AI analysis in about 4 minutes, while the dashboard pushes a world map, alerts, and rankings in real time. Everything measured, everything verifiable. That's AEGIRON.