MalarAI integrates artificial intelligence, human mobility analytics, and geospatial modelling to identify hidden transmission sources, map importation pathways, and accelerate the end of malaria.
What we do
Integrating surveillance, mobility, genomics, climate, and environmental data to pinpoint where transmission actually occurs — not just where cases reside.
High-resolution population and mobility models that reveal how people move — and how malaria parasites move with them — integrating smartphone GPS, Meta mobility data, and WorldPop datasets.
Learn more →An AutoML pipeline that continuously integrates case surveillance, climate, mobility, and genomic data to identify micro-transmission sources, map importation pathways, and forecast outbreak risk in near real-time.
Learn more →Spatiotemporal forecasting of drug and insecticide resistance across endemic regions — helping programmes stay ahead of emerging threats before treatment and vector control options are compromised.
Learn more →Our focus: Zanzibar
Despite two decades of intensive interventions, malaria persists in Zanzibar. Transmission is concentrated among young men aged 15–45, driven largely by outdoor exposure and importation from mainland Tanzania — dynamics that existing surveillance systems were not designed to detect.
MalarAI is developing AI-driven tools — built in direct partnership with the Zanzibar Malaria Elimination Programme (ZAMEP) — to identify the true sources of transmission and enable precision targeting of interventions where they are needed most.
Read about our approachAll methods published with transparent assumptions and explicit uncertainty estimates.
Co-designed with ZAMEP and national malaria programmes across the region.
Built for real-world planning, targeting, and evaluation — not just publication.
Training local programme staff to own and sustain AI tools beyond the project.
Our team
MalarAI brings together spatial epidemiologists, global health experts, and data scientists from leading institutions worldwide.
Funding & support
Pilot funding provided by the Web Science Institute Pilot Project Fund 2025–26.