The progression of disease epidemics is affected by differences in individuals' physiology and social/behavioral characteristics. Further, the geographic distribution of the population plays an important role in shaping the progression of disease outbreaks. The goal of this research is to develop a computational model to quantify the effect these factors have on spatial and temporal variations of disease epidemics. Specifically, we are interested in studying models that consider the effects of the immune response and the different interaction parameters of individuals during an epidemic.