Establishes an AI-enhanced early warning system predicting vector-borne disease activity using weather, habitat, and wildlife data. Delivers real-time risk alerts. Instructs the Secretary of Health and Human Services to implement this system within a national vector-borne disease prevention framework.
Establishes the Secretary of Health and Human Services' responsibility to create a comprehensive national vector-borne disease prevention system.
Incorporates an artificial intelligence-enhanced early warning system to predict disease activity using weather, habitat, and wildlife data, and to deliver real-time, location-based risk alerts.
Integrates data reporting with human, animal, and environmental data through a professional vector identification service.
Includes insurance claims surveillance to detect outbreaks earlier than traditional methods and syndromic surveillance of emergency room visits for vector-borne symptoms.
Aims for comprehensive public education by delivering targeted prevention messaging and collaborating with schools, workplaces, media, and community organizations.
Sets a national strategic alignment goal of reducing Lyme disease by 25 percent by 2035 and enhancing military readiness through early detection and ecosystem health.