UC San Francisco (UCSF) aims to develop an online platform leveraging Google Earth Engine data to predict areas prone to malaria transmission. By combining human-reported malaria cases with real-time satellite data on environmental conditions, the platform seeks to enhance targeted interventions against the disease, which annually claims the lives of 600,000 individuals, predominantly children. The novel tool will undergo a pilot phase in Swaziland, a nation in southern Africa that has successfully restricted malaria to a few isolated areas nationwide. This achievement was attributed to the malaria elimination program initiated in 2008, with support from the Global Health Group aiming to eradicate the disease within two decades.

The upcoming tool will undergo a pilot phase in Swaziland, a country situated in southern Africa. Swaziland has effectively constrained malaria to a handful of localized areas throughout the nation via the malaria elimination program it instigated in 2008, with assistance from the Global Health Group.