EpiDizin Reference
Agent-Based SIR Epidemic Simulator
An interactive tool demonstrating disease transmission mechanics, the classic Susceptible-Infected-Recovered (SIR) model, and the mathematical impact of physical distancing.
The Compartmental Framework
The SIR model is a fundamental mathematical concept in epidemiology used to estimate the theoretical number of people infected with a contagious illness in a closed population over time.
| State | Color | Definition |
|---|---|---|
| Susceptible (S) | Teal | Individuals who have no immunity to the infectious agent and can become infected if exposed to the pathogen. |
| Infected (I) | Red | Individuals currently hosting the pathogen and capable of transmitting it to susceptible contacts. |
| Recovered (R) | Gray | Individuals who have survived the infection, cleared the pathogen, and acquired immunity. |
Interactive Model
Observe how microscopic, individual interactions lead to macro-level epidemic curves. Adjust the parameters dynamically or click inside the environment map to manually introduce a localized index case.
Susceptible
0
Infected
0
Recovered
0
Click space to introduce infection
300
Total number of agents. Adjusting this will restart the simulation.
60%
Likelihood of transmission during a close contact event.
200 ticks
Time an agent remains infectious before recovering.
0%
Dynamically isolate a percentage of the population to limit interactions.
Field note:
Allow an outbreak to begin normally, then rapidly slide the Physical Distancing setting to 70% mid-simulation. Notice how the peak of the red "Infected" curve drastically drops and widens. This visualizes the public health objective known as "flattening the curve" to prevent healthcare system overload.