PPolySim OS

Epidemic Network

Disease doesn't spread in a well-mixed soup — it spreads along contacts. Watch an outbreak move through a network and see how connectivity drives it.

Epidemic on a NetworkLive

Controls

Infection spreads along the contact network (red = infected, blue = susceptible, green = recovered). Tune transmission, recovery, and connectivity.

Presets

▶ Run in Python

Data Inspector

Susceptible0
Infected0
Recovered0
Edges0

Governing equation

Reading this result: Spread outpaces recovery by 6.0-to-1 — an epidemic grows, but whether it reaches everyone hinges on the contact radius wiring nodes together.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Save your tuned setup, or drop this simulation into your own site, docs, or course page.

How it works

This agent-based SIR model places individuals on a contact graph. Each infected node can infect its neighbors with probability β and recovers with probability γ. It captures effects the classic equations miss — super-spreaders, network structure, and the impact of reducing contacts.

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The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.

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Frequently asked questions

Is this epidemic network simulation tool really free?
Yes. Epidemic Network runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.