epiENGAGE projects bring together multidisciplinary teams of researchers, software developers, and public health professionals. Together they identify critical problems, design targeted modeling approaches, build and implement these models in user-friendly software tools, rigorously test and pilot them, and ultimately scale effective solutions to cities and counties nationwide.
An initiative to use TreeScan software to search ICD-10 medical codes for abnormal increases during the 2026 FIFA World Cup.
An interactive online dashboard for rapid simulation of measles outbreaks in schools, helping leaders and communities visualize risks linked to vaccination coverage.
Scalable, city-specific models to track, predict, and manage influenza transmission in metropolitan communities.
A national platform enabling collaborative, city-level forecasting of influenza-related emergency department visits and hospital admissions.
An open-source ecosystem of software and data tools designed to support collaborative modeling, rapidly validate model outputs, and deliver trusted, summarized results. We are continually expanding Hubverse to power outbreak forecasting across scales and diseases.
A public dashboard aggregating and visualizing state-level forecasts of COVID-19 variant trends alongside the latest surveillance data.
Statistical models that provide real-time estimates of public health trends, filling critical gaps in delayed surveillance data to improve situational awareness during outbreaks.
Optimizing genomic sampling strategies to efficiently meet diverse public health objectives.
Targeted training initiatives designed to close critical skill and knowledge gaps among public health professionals, decision makers, and academics.
How to Think Like a Modeler (Course preview | Register)
Applying best practices from war-gaming to build preparedness, improve decision-making, and strengthen emergency response capabilities.
Center for Advanced Preparedness and Threat Response Simulation
© 2026 epiENGAGE.
