Senegal | Cardiovascular Health | Family-Centered Health Model
This project promotes a household-centered approach to cardiovascular health, collecting data on lifestyle and environmental factors. Through a health and environment barometer, it will identify family-based cardiovascular risks and encourage family involvement in health decisions, ultimately enhancing adherence to preventive health measures and improving outcomes.
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.
Contact us:
grandchallenges.senegal@pasteur.sn