This paper discusses the limitations presented by current disease mapping models, despite growing interest in the field. This is due to integrated yet restrictive assumptions, such as stationarity, linearity, and normality, resulting in inaccurate interpretations and results.  In the case of linearity, ages of patients with HIV and HSV-2 was revealed to have a non-linear relationship with the diseases' prevalence. As such, a linearity assumption does not necessarily apply to all situations. Stimuli response may also vary depending on the region studied due to a myriad of variables, one example being the culture involved.