Spatio-Temporal Modeling of Malaria Occurrence Probability Using Multi-Sensor Remote Sensing and Machine Learning
Background: Reliable mapping of malaria occurrence requires validation across environmentally distinct years and careful separation of model-derived probability from transmission intensity. This study developed a multi-sensor remote sensing and machine-learning framework for mapping annual malaria case occurrence in s...