A geostatistical framework to forecast malaria incidence in the context of climatic events KU Leuven
Malaria is a life-threatening disease that causes a significant public health burden worldwide. Malaria incidences show considerable temporal and geographical variation, which can be linked at least partly to climatic conditions. Over the last twenty years, multiple Malaria Early Warning Systems (MEWS) have been developed. These systems primarily focus on short-term incidence predictions, but there is a growing demand to implement long-term ...