Alain Virekero

Explainable Graph Neural Networks for Multimodal Malaria Risk Prediction Using Malaria Atlas Project (MAP)-Inspired Synthetic Data and Climate Indicators in Sub-Saharan Africa

An explainable multimodal artificial intelligence framework that integrates epidemiological, climatic, geospatial, and demographic information through a modality-specific encoder-fusion architecture is proposed and extended with a spatial Graph Neural Network component designed to capture inter-district dependencies and potential spatial spillover effects.