Malaria remains one of the most serious and widespread vector-borne infectious diseases worldwide, caused by Plasmodium protozoa and transmitted through the bites of infected female Anopheles mosquitoes. In this study, we present a novel, integrative, bioinformatics-driven deterministic mathematical model to investigate the complex transmission dynamics of malaria. The model uniquely distinguishes between homogeneous and heterogeneous exposed human compartments (Ehm, Eht) and explicitly incorporates mosquito population dynamics.