Veterinary Surveillance

The epidemiologist
that never sleeps

Epizo monitors global livestock disease signals around the clock, identifies outbreak patterns across regions and species, and alerts you before epidemics spread.

View Live Dashboard → How it works ↓

Live Signal Feed

East Africa / Sudan High Risk

Rift Valley Fever

Anomalous rainfall pattern detected in Kassala region. Historical correlation with RVF outbreaks in ruminants. Mosquito vector index rising.

Sources: 3

Confidence: 87%

Lead time: 14 days

Central Europe / Bavaria Elevated

Bovine Brucellosis

Two unlinked serological positives in imported cattle. Cross-referencing animal movement records with origin farm history.

Sources: 5

Confidence: 72%

Lead time: 21 days

Southeast Asia / Vietnam Monitoring

African Swine Fever

Baseline signal within normal range. AI continues passive monitoring across 12 provinces. No anomalies detected this cycle.

Sources: 8

Confidence: 94%

Status: Stable

What Epizo Does

Multi-source ingestion

Pulls from WAHIS official reports, ProMED alerts, published literature, weather APIs, and animal movement records. Fuses signals that humans would take weeks to cross-reference.

Predictive outbreak scoring

Assigns risk scores by region, species, and disease type. Identifies outbreak precursors (weather anomalies, trade routes, seasonal patterns) before clinical cases appear.

Autonomous monitoring

Runs 24/7 without human curation. Escalates high-risk signals immediately. Learns from confirmed outbreaks to improve future predictions.

One Health intelligence

Connects animal disease signals with human health data and environmental factors. Tracks zoonotic spillover risk at the animal-human interface.

WAHIS

A database

Stores what already happened

ProMED

A mailing list

Curated by humans, hours late

Epizo

An epidemiologist

Predicts what happens next

Disease surveillance shouldn't wait for the outbreak to start.