Towards an intelligent malaria outbreak warning model based intelligent malaria outbreak warning in the northern part of Benin, West Africa

This study aims to develop an intelligent outbreak malaria early warning model driven by monthly time series climatic variables in the northern part of Benin. Malaria is one of the major vector-borne diseases most sensitive to climatic change in West Africa. The prevention and reduction of malaria are very difficult in Benin due to poverty, economic insatiability and the non of environmental determinants. 

The study concludes that, climate factors determine the transmission of malaria in Northern Benin. Relative humidity and temperature have a potential influence on the transmission of malaria in the study areas. Relative humidity and maximal temperature favor the development of mosquitoes breeding sites and increase the transmission of malaria. in Nord Benin.