Predicting better public-health decisions.
The platform’s objective is to integrate multiple public-health datasets to improve prevention strategies, resource allocation and early identification of high-risk populations nationwide.
EpiPredict brings public-health indicators, social determinants and forecasting tools into one decision-support experience—helping teams identify vulnerable populations, plan prevention strategies and direct limited resources where they can have the greatest impact.
Public-health information often lives across separate surveillance, demographic and healthcare systems. EpiPredict is designed to combine those signals into a clearer view of current burden, future risk and practical intervention opportunities.
The platform’s objective is to integrate multiple public-health datasets to improve prevention strategies, resource allocation and early identification of high-risk populations nationwide.
Explore the EpiPredict dashboard by changing the health domain, indicator, geography and forecast horizon. The metrics, trend chart and community-needs summary update instantly.
Lower risk. Keep current prevention efforts going.
Some warning signs. Check changes over time.
Higher risk. Prevention resources may be useful here.
Highest risk. These communities may need priority attention.
Explore demonstration prevalence trends and multi-year projections.
Compare changing incidence patterns across communicable and chronic conditions.
Review illustrative hospitalization trajectories and possible future burden.
Connect prevention scenarios with emergency visits and service demand.
The platform covers tobacco prevention, communicable diseases and chronic disease burden. Select a category or choose a condition to load it into the dashboard.
Monitor prevalence, cessation progress and population-level risk patterns.
Track electronic-cigarette use and emerging school-age prevention needs.
Compare exposure burden across homes, workplaces and communities.
Assess reach and potential gaps in tobacco-cessation services.
Connect long-term tobacco burden with preventable mortality trends.
Follow incidence, hospitalization and community transmission signals.
Explore seasonal burden, surveillance changes and vaccination context.
Identify respiratory disease pressure and vulnerable age groups.
Support surveillance of incidence, testing and treatment gaps.
Compare infection burden, screening access and treatment pathways.
Track incidence, prevention reach and treatment-continuum indicators.
Surface changing incidence and priority populations for intervention.
Connect outbreak risk with vaccination coverage and community immunity.
Assess respiratory burden, hospitalization and preventable risk factors.
Compare prevalence, environmental exposure and healthcare utilization.
Connect tobacco burden, screening opportunity and mortality patterns.
Examine preventable risk, access barriers and population-level burden.
Track prevalence, complications and social determinants of care.
Complete target-condition coverage.
The current build includes all five tobacco indicators, eight communicable diseases and five chronic conditions specified in the project document.
Adjust seven community indicators to see how health behavior, vaccination, poverty, housing, transportation, insurance and healthcare access can shape a transparent risk estimate.
Move any indicator to update the assessment.
Select a public-health priority, available budget, population and rurality to explore a transparent funding mix across screening, vaccination, mobile care, tobacco cessation and community health workers.
Test six policy and program scenarios identified in the project plan. The simulator shows an illustrative burden trend, possible prevention effect, avoided hospitalizations and equity improvement.
The registry includes every potential resource named in the project document and four additional public-sector data categories that may support environmental, insurance, workforce and behavioral-health analysis.
Potential national disease, behavior, prevention and surveillance indicators.
Potential mortality, morbidity, demographic and healthcare-use measures.
Potential state-level health behavior and chronic-disease risk indicators.
Potential self-reported health, access, insurance and utilization measures.
Potential near-real-time signals for emergency and outbreak monitoring.
Potential population, poverty, housing, transportation and demographic context.
Potential quality, utilization, hospitalization and health-system indicators.
Potential air-quality, environmental-exposure and climate-related indicators.
Potential coverage, claims, utilization and healthcare-access information.
Potential workforce, shortage-area and healthcare-access indicators.
Potential behavioral-health, substance-use and harm-reduction indicators.
The roadmap includes all eight future capabilities in the project plan. These are presented as planned research and development directions—not completed product claims.
Identify unusual patterns and support earlier review of possible public-health events using validated surveillance methods.
Future capabilityForecast disease incidence, hospitalization and healthcare utilization with validated methods.
Future capabilityCombine adult smoking, youth vaping, exposure, cessation and mortality indicators.
Planned domainConnect air quality, environmental exposures and climate indicators with community burden.
Future capabilitySupport earlier recognition of inequities and emerging maternal-child health concerns.
Future capabilityMeasure how risk, access, outcomes and intervention benefits differ across populations.
Core principleEstimate the potential cost implications of disease burden, prevention and policy scenarios.
Future capabilitySupport scenario planning, capacity review and coordinated response decisions.
Future capabilitySanchita Sultana, BDS, MPH, MBA, is an epidemiologist at the Washtenaw County Health Department with more than ten years of public-health experience. Her work includes communicable-disease surveillance, tobacco-related illness prevention, oral health, health education, data analysis and health equity. EpiPredict reflects her interest in translating public-health evidence into practical, scalable decisions.