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

Background: Malaria is highly sensitive to climatic variables and is strongly influenced by the presence of vectors in a region that further contribute to parasite development and sustained disease transmission. Mathematical analysis of malaria transmission through the use and application of the value of the basic reproduction number (R) threshold is an important and useful tool for the understanding of disease patterns.

Methods: Temperature dependence aspect of R obtained from dynamical mathematical network model was used to derive the spatial distribution maps for malaria transmission under different climatic and intervention scenarios.