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.
Simulating epidemics via the theory of dynamical systems
Mantica, Giorgio
Primo
2022-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.