AI-Based Malaria Incidence Prediction Under Current and Future Climate in Southern Ethiopia (AIM-Clim)

Thomas Torora of Arba Minch University in Ethiopia will use AI-based approaches to downscale coarse-resolution climate simulations and integrate kebele-level (subdistrict) malaria data to predict malaria incidence at a finer scale in Ethiopia to proactively guide targeted interventions. To predict malaria incidence under current and future climate scenarios, they will develop AI-based models that integrate meteorological data from surface and satellite observations, seasonal climate forecasts, land use and satellite vegetation-index datasets, and malaria data from health facilities. They will validate the models using malaria and mosquito vector data from selected sites. They will also develop a web-based interactive tool to make the malaria predictions readily accessible to public health officials, policymakers, and community stakeholders.