SIR Model Visualizer
Visualize the SIR model for epidemiology! Predict disease spread with interactive charts. Input parameters and see susceptible, infected, and recovered populations evolve over time.
Input Parameters
Adjust the parameters below to simulate different disease scenarios. Hover over labels for tooltips.
Simulation Results
Susceptible Population Over Time
Values:
Infected Population Over Time
Values:
Recovered Population Over Time
Values:
About the SIR Model
The SIR model is a simplified epidemiological model that divides a population into three compartments: Susceptible (S), Infected (I), and Recovered (R). It helps to predict the spread of a disease in a population over time.
- Susceptible (S): Individuals who can contract the disease.
- Infected (I): Individuals who have the disease and can spread it.
- Recovered (R): Individuals who have recovered from the disease and are immune.
The model uses two key parameters: the transmission rate (β), which represents the probability of infection spread, and the recovery rate (γ), which represents the rate at which infected individuals recover. By adjusting these parameters and initial populations, you can explore different scenarios of disease outbreaks.
Learn more about the SIR model on Wikipedia.