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.
Sanchita Sultana is an epidemiologist, public health researcher, and healthcare innovator dedicated to advancing disease prevention, health equity, and data-driven public health decision-making. With more than a decade of experience spanning clinical dentistry, epidemiology, and population health, she works at the intersection of surveillance, artificial intelligence, predictive analytics, and community health to develop solutions that strengthen public health systems.
Currently serving as an Epidemiologist with the Washtenaw County Health Department in Michigan, Sanchita leads and supports surveillance initiatives for infectious diseases, environmental health, and community health assessments while translating complex public health data into actionable strategies that protect communities. Her work focuses on building smarter surveillance systems, improving outbreak preparedness, reducing health disparities, and applying emerging technologies to real-world public health challenges.
A published researcher and active scientific collaborator, Sanchita has authored and co-authored research in tobacco control, cancer prevention, infectious diseases, health disparities, and global public health. She also serves as a peer reviewer for leading public health journals and scientific conferences, contributing to the advancement of evidence-based research worldwide.
Recognized for academic excellence and professional leadership, Sanchita has received multiple honors at Central Michigan University and actively contributes to national and international professional organizations through research, mentorship, conference presentations, and scientific service. Her work bridges academia and public health practice, ensuring research findings translate into meaningful improvements in community health.
Passionate about innovation with purpose, Sanchita is developing AI-enabled epidemiological surveillance and predictive analytics solutions that empower health departments to detect outbreaks earlier, allocate resources more effectively, and make faster, evidence-based decisions. Her long-term vision is to leverage technology, research, and interdisciplinary collaboration to build more resilient public health systems and improve health outcomes for communities around the world.
When she is not analyzing data or writing manuscripts, she mentors aspiring public health professionals, explores emerging technologies, contributes to global research collaborations, and spends quality time with her daughter while continuing to learn, build, and create solutions that make a lasting impact.
A systematic review of individual, population and healthcare-system factors affecting cessation interventions.
2025 · Causal methodsAn evidence-synthesis approach for organizing causal pathways and supporting equity-focused intervention design.
2025 · Health equityA cross-sectional study examining demographic, enabling and health-need factors associated with service use.
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 example 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 scope includes five tobacco indicators, eight communicable diseases and five chronic conditions.
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.
Explore six policy and program scenarios. The simulator shows an illustrative burden trend, possible prevention effect, avoided hospitalizations and equity improvement.
The registry combines seven core public-health resources with 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 sets out eight future capabilities. They are presented as planned research and development directions—not completed product claims.
Use validated surveillance and carefully reviewed automated signal detection to flag unusual patterns for epidemiologist review. The system would support—not replace—public-health judgment.
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 capabilityCurrent writing and research initiatives spanning population health, youth recovery, tobacco-related chronic disease, health equity, respiratory surveillance, and vaccine effectiveness.
Share a little about your goals, project, and the topics you would like to discuss. Once the request is complete, you will be able to schedule a mentorship session.
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Explore Sanchita's research, publications, professional network, and academic profiles.