Abstract:
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
control of environmental determinants. 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.
Description:
A Publication submitted to the West African Science Service Centre on Climate Change and Adapted Land Use, the Université de Lomé, Togo in partial fulfillment of the requirements for the requirements for the degree of Doctor of Philosophy Degree in Climate Change and Disaster Risk Management
