Senegal | Infectious diseases | Vector-borne disease threats

The Université Gaston Berger de Saint-Louis is developing the AIRFARE-EWS, an artificial intelligence-powered early warning system for detecting Rift Valley Fever (RVF) outbreaks. By integrating diverse data sources—including environmental, meteorological, and livestock health information—the system will enhance the capacity for early detection and timely response to RVF threats. Machine learning algorithms will analyze trends and patterns to predict outbreaks before they occur. The project also includes the development of a mobile application for monitoring disease spread, providing farmers and healthcare workers with real-time alerts, ultimately aiming to safeguard both human and animal health.