TRANSMISSION DYNAMICS OF MALARIA IN HUMAN HOST: A NEURO-FUZZY APPROACH

A neuro-fuzzy approach is proposed for modeling the malaria transmission in a human host. three dynamic models (i) consistent host preference model (ii) switching behavior model and (iii) increasing preference model, are developed to understand the equilibrium and stability. these models allow us to estimate biting preference by mosquitoes with respect to infection in their host. we have focused on the dynamics of malaria transmission by considering the aspects of non-random host choice. in determining the levels of malarial infection, it is shown that mosquitoes are preferentially attracted to an infected host even when biting does not occur. numerical results are obtained using both analytical and neruo-fuzzy approach to explore the equilibrium behavior.