Spatial panorama of malaria prevalence in Africa under climate change and interventions scenarios

Abstract

The approach employed here is a sole study that defined the limits of contemporary malaria transmission, using R₀ derived from a dynamical mathematical model. It has offered a unique prospect for measuring the impacts of interventions through simple manipulation of model parameters. Projections at scale provide options to visualize and query the results, when linked to the human population could potentially deliver adequate highlight on the number of individuals at risk of malaria infection across Africa. The findings provide a reasonable basis for understanding the fundamental effects of malaria control and could contribute towards disease elimination, which is considered as a challenge especially in the context of climate change.