  Infectious diseases are caused by pathogenic microorganisms and can spread
through different ways. Mathematical models and computational simulation have
been used extensively to investigate the transmission and spread of infectious
diseases. In other words, mathematical model simulation can be used to analyse
the dynamics of infectious diseases, aiming to understand the effects and how
to control the spread. In general, these models are based on compartments,
where each compartment contains individuals with the same characteristics, such
as susceptible, exposed, infected, and recovered. In this paper, we cast
further light on some classical epidemic models, reporting possible outcomes
from numerical simulation. Furthermore, we provide routines in a repository for
simulations.
