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 approach
Malaria elimination requires understanding not just where cases occur, but how parasites move through populations, evade drugs, and persist despite intensive intervention. Existing surveillance systems were not designed to detect the fine-scale dynamics that now drive transmission: mobile high-risk populations, outdoor exposure, importation across porous borders, and emerging drug resistance.
MalarAI develops AI-driven tools, built in direct partnership with national malaria programmes, to answer these questions at scale, enabling programmes to move from reactive to proactive elimination strategies.
Read about our approachAll methods published with transparent assumptions and explicit uncertainty estimates.
Co-designed with national malaria programmes, regional partners and local collaborators worldwide.
Built for real-world planning, targeting, and evaluation, not just publication.
Training local programme staff to own and sustain AI tools beyond the project.
Where we work
MalarAI tools are being developed and validated in Zanzibar, Tanzania, with a framework designed to be transferable across endemic and pre-elimination settings.
Pilot site. Two decades of intensive control have stalled in Zanzibar. In partnership with ZAMEP, MalarAI is mapping transmission sources, importation corridors, and high-risk population dynamics to enable precision-targeted intervention.
Learn more →Coming soon. Our platform is designed for transferability across endemic settings. We are actively developing partnerships with national programmes across the region.
Get in touch →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. We are actively pursuing full programme funding from international funders.