Detect outbreaks weeks before traditional surveillance.
Real-time, hyperlocal illness signals help public health teams deploy resources and protect communities ahead of the curve.
Predictive forecast
Harris County, TX · Influenza-like illness
ILI activity
Why Kinsa
Early Warning Surveillance for Communities
Traditional public health surveillance relies on doctor visit data that arrives weeks late. Kinsa detects illness at symptom onset, weeks before traditional reporting.
Real-Time Monitoring
Track illness across your jurisdiction as it happens.
Outbreak Detection
Identify unusual patterns before they become outbreaks.
Targeted Response
Deploy resources to hotspots with zip-level precision.
Illness Surveillance
From illness onset to outbreak containment
Why Early Warning Infrastructure Matters
Early Warning Saves Lives
Identifying illness hotspots weeks before traditional surveillance allows health departments to deploy resources and contain outbreaks.
Hyperlocal Precision
County and zip-level data ensures targeted interventions — from vaccination clinics to school operational planning and prevention.
Novel Outbreak Detection
Kinsa's network predicted COVID-19 weeks before official declarations. This capability detects any novel illness pattern.
Use Cases for Public Health
County Health Depts
Real-time surveillance and outbreak detection at county level.
State Health Agencies
Statewide illness monitoring with regional breakdowns.
School Districts
Operational planning and prevention measures informed by local illness trends.
Vaccination Programs
Target vaccination campaigns to vulnerable populations.
Ready to protect your community?
See how Kinsa's early warning system can transform your public health surveillance.
Talk to our public health team