Disaster Epidemiology Demystified: Support for Data-Driven Decisions in Emergency Management

Disaster epidemiology, an all-hazard specialty, provides actionable health-focused intelligence throughout the disaster lifecycle. It offers emergency management professionals validated tools and methods to assess needs, track impacts, and strengthen community resilience. By integrating core public health principles with emergency management priorities, disaster epidemiology supports data-driven decision-making through rapid assessments, surveillance, responder safety and health, rosters, registries, and studies. This presentation will showcase proven strategies and global insights for integrating disaster epidemiology across the emergency management cycle. We will explore tools and methodologies ranging from standardized surveys to syndromic surveillance that illuminate hidden risks, inform targeted planning, and enable jurisdictional comparability. Attendees will benefit from real-world examples illustrating how epidemiologists enhance multi-agency coordination and decision-making in diverse emergencies. Participants will learn how to seamlessly incorporate epidemiologists into preparedness exercises, shelter planning, language-accessible communications, and responder safety initiatives demonstrating capacity building through cross-sector collaboration and grounded in public health data. In times of tightening budgets, disaster epidemiology can expand emergency management capability by augmenting situational awareness and decision support without significant new investment.