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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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.
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.