Three Mathematical Modeling Approaches for Infectious Diseases: SI, SIS, and SIR Models

Implementation and simulation of SI, SIS, and SIR mathematical models for infectious disease modeling. The package includes MATLAB/Python code examples with visualization results, featuring differential equation solvers and parameter configuration for epidemiological studies. Ideal learning material for beginners in computational epidemiology!

SIR (Susceptible, Infected, Recovered) Model

The SIR (Susceptible, Infected, Recovered) model is used to study infectious diseases like smallpox, influenza, hepatitis, and measles, which confer strong immunity after recovery. This model employs differential equations to simulate disease spread dynamics and predict outbreak patterns.

MATLAB Code Implementation of the SIR Epidemiological Model

MATLAB source code for the SIR epidemiological model with disease transmission dynamics and implementation details