Mathematical modelling of malaria based on Uganda data

Abstract

Malaria infection remains a major health burden in many parts of the world, especially sub-Saharan Africa. Long lasting insecticide nets (LLIN) and indoor residual sprays (IRS) are the most recommended malaria control tools, and they have dramatically reduced indoor malaria transmission. Anopheles gambiae is one of the most important species in malaria transmission in Africa, Uganda in particular. Climatic and weather factors become important determinants of vector-borne diseases transmission like malaria. This study assess the likely impact of LLINs on the feeding cycle dynamics of Anopheles gambiae, modelling the seasonal human-mosquito population level as a variable of rainfall and the impact of rainfall on the malaria cases pattern in Uganda.