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Overdose Forecast

Built for Overdose Response ยท Drug policy, treatment access and recovery

Forecast where overdose surges are likely in the next two weeks from leading indicators โ€” so resources move before the spike, not after.

โœŽ Tried it? Share pilot feedback โ†’
50%
surge
4
regions ยท surge likely
2 on watch
Worst 2-week forecast
Cabell Co., WV
risk 96 ยท driven by EMS naloxone
88%
avg confidence
risk, ranked
Forward-looking, not rear-view. Each region's leading indicators are projected 2 weeks ahead (to ~Jul 10) and blended into one risk score with a confidence band, ranked worst-first so naloxone and outreach move before the spike. Aggregate only โ€” no individual data exists in this system.
#1
96
risk /100
Cabell Co., WVโš‘ Surge likely
Top driver: EMS naloxone (33% of risk)
band 94โ€“98confidence 95%
May 22 โ†’ Jun 26 โ†’โ†—
detail โ†’
#2
85
risk /100
Kanawha Co., WVโš‘ Surge likely
Top driver: EMS naloxone (32% of risk)
band 83โ€“87confidence 95%
May 22 โ†’ Jun 26 โ†’โ†—
detail โ†’
#3
76
risk /100
Hamilton Co., OHโš‘ Surge likely
Top driver: EMS naloxone (42% of risk)
band 74โ€“78confidence 94%
May 22 โ†’ Jun 26 โ†’โ†—
detail โ†’
#4
67
risk /100
Bernalillo Co., NMโš‘ Surge likely
Top driver: Strip + (61% of risk)
band 57โ€“77confidence 67%โš  2 feed(s) offline โ€” wider band
May 22 โ†’ Jun 26 โ†’โ†—
detail โ†’
#5
50
risk /100
Top driver: Strip + (33% of risk)
band 48โ€“52confidence 95%
May 22 โ†’ Jun 26 โ†’โ†—
detail โ†’
#6
46
risk /100
Top driver: ED visits (31% of risk)
band 44โ€“48confidence 94%
May 22 โ†’ Jun 26 โ†’โ†—
detail โ†’
#7
37
risk /100
Top driver: Strip + (37% of risk)
band 29โ€“45confidence 72%
May 22 โ†’ Jun 26 โ†’โ†—
detail โ†’
#8
33
risk /100
Top driver: Strip + (38% of risk)
band 31โ€“35confidence 95%
May 22 โ†’ Jun 26 โ†’โ†—
detail โ†’
Ranked by 2-week forward risk (ties broken by confidence). Pinning a region queues it for pre-positioning โ€” the only thing stored, and it is just a region id. No person is ever represented.
Showcase demo for the Born Between 2 Generals summit. Showcase ยท best home: Nonprofit / public-safety. Seeded with realistic sample data; runs payment-dark (no billing). Not a production system.