Explore MATLAB source code curated for "SIR模型" with clean implementations, documentation, and examples.
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!
A comprehensive complex network toolbox featuring SIS and SIR epidemic models, along with degree and k-shell computation capabilities for network analysis.
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 source code for the SIR epidemiological model with disease transmission dynamics and implementation details
MATLAB code implementation of SIR (Susceptible-Infected-Recovered) epidemic modeling with detailed algorithm explanations and numerical solving approaches.