Simulating epidemics via the theory of dynamical systems

Abstract

This paper describes a deterministic dynamical model of the epidemic spreading of disease. We introduce fundamental concepts from nonlinear dynamics and statistical physics, and use computer simulations that can be implemented by advanced undergraduate and by graduate students. It is shown that the model can describe real-world phenomena during an epidemic. Due to its simplicity and flexibility, the model is also a useful tool for research.