Join us for a special lecture from Dr. Kwame Obeng next Wednesday, Oct. 28. from noon to 1 p.m. in University Gateway Building, Room 318 (in-person only, no registration required).
Obeng will be presenting Explainable Machine Learning for Predicting Malaria Incidence and Severity Hotspots in Ghana: A Spatiotemporal Approach. He will walk us through using real malaria data from 261 districts across Ghana from 2021 to 2025 to examine the geographic distribution of malaria cases and interpolate between locations. Statistical analyses will be carried out to identify significant clusters of malaria cases. His work demonstrates how spatial patterns in malaria burden can help inform public health decision-making.
