MCIDT affiliate Dr. Geoffrey H. Siwo and his co-authors call for a new approach to malaria eradication—one that moves beyond historical case data to anticipate where transmission may emerge. They recommend climate-informed risk systems that account for environmental change, social vulnerability, and health-system capacity. Combining local surveillance with tailored vector control, community health services, sustained funding, regional coordination, and AI-supported forecasting could help malaria programs act earlier and reduce the risk of re-emergence.
Key Terms: malaria elimination; climate change; risk assessment; artificial intelligence; disease surveillance
