Meta-Population Modelling and Simulation of the Dynamic of Malaria Transmission with Influence of Climatic Factors

We model the dynamic of malaria transmission taking into account climatic factors and the migration between Douala and Yaoundé, Yaoundé and Ngaoundéré, three cities of Cameroon country. We show how variations of climatic factors such as temperature and relative humidity affect the malaria spread. We propose a meta-population model of the dynamic transmission of malaria that evolves in space and time and that takes into account temperature and relative humidity and the migration between Douala and Yaoundé, Yaoundé and Ngaoundéré. More, we integrate the variation of environmental factors as events also called mathematical impulsion that can disrupt the model evolution at any time. Our modelling has been done using the Discrete EVents System Specification (DEVS) formalism. Our implementation has been done on Virtual Laboratory Environment (VLE) that uses DEVS formalism and abstract simulators for coupling models by integrating the concept of DEVS.