Studies on the environmental and genetic factors of the host that are determinant in the occurrence of infections and in the different clinical manifestations of the disease can contribute to the understanding of the dynamics of diseases and their maintenance at different levels of prevalence in populations. We analyze patient location data to understand the impact of spatial dispersion, an important factor in vector-borne diseases, arbovirus and malaria infections. Thus, the development of compartmental models makes it possible to have a global view of the entire system with integration of environmental determinants and population susceptibility / resistance. Likewise, incidence estimates, the evaluation of the general level of immunity (e.g. against yellow fever) or the prediction of epidemics are all important subjects on which mathematical modeling can provide one more.