Mathematical Modeling of Infectious Disease Spread Using the SIR Model

The spread of infectious diseases poses a continuous challenge to public health worldwide. Mathematical modeling has become an essential tool for understanding and predicting epidemic dynamics, enabling policymakers to design effective intervention strategies. This paper explores the application of the classic SIR (Susceptible- Infectious-Recovered) model in simulating the spread of infectious diseases. By analyzing the model’s core parameters—transmission rate and recovery rate—we discuss the role of the basic reproduction number, R0 in determining outbreak potential.