Predicting Malaria Transmission in Ghana’s Upper West Region: A Machine Learning Tournament with Explainable AI
Updated: Sep 7

Pan-Atlantic University, Lagos, Nigeria, 2-7 August 2026
Jacob Agyekum & Vukosi Marivate
Abstract: Malaria remains a primary public health challenge in the Upper West Region of Ghana, requiring high-resolution forecasting to optimise resource allocation [1,2]. This study introduces a competitive “model tournament” framework for predicting malaria cases in outpatient departments (OPDs) across 11 districts.
Rather than forcing a single, region-wide model onto structurally heterogeneous environments, the tournament independently optimises architectures for each district. This approach shifts the forecasting paradigm from global trend replication to district-specific tracking of outbreak acceleration to facilitate
precision prevention.
Poster:






