Fellowship focus: Developing an AI-driven assessment of malaria interventions to identify effective control policies in Nigeria.
Ninety-five per cent of the world’s malaria cases occur in the WHO African Region, with Nigeria being the most affected country. Dr Oyeyemi plans to leverage the ‘OpenMalaria’ model from the Swiss Tropical and Public Health Institute and use AI-based simulations to identify the most effective malaria control policies for Nigeria. This state-of-the-art epidemiological model could be extended to other settings and geographical contexts, helping to shape policies across Sub-Saharan Africa. The Fellowship will contribute to the Sustainable Developments in Neglected Communities programme in the Surrey Institute for Sustainability, and align with key UN Sustainable Development Goals.