Mathematical models of infectious diseases — Consequences of underlying assumptions

Mathematical models have been used to study various disease transmission dynamics and control for epidemics. Many of these studies are based on SEIR- types of compartmental models with exponentially distributed stage durations. We examine the underlying assumptions made in some of these models and present examples to illustrate the potential issues associated with these assumptions in terms of model evaluations of control and intervention strategies.