EPIDEMIC SPREAD

▸ Spawning the agent population (S · I · R)…
▸ Seeding patient zero
▸ Loading parameters β (transmission) · γ (recovery)
▸ Computing the basic reproduction number R₀ = β/γ
▸ Calibrating the epidemic curve
▸ Ready — Online. ✅
0%
⌂ Complex systems

Simulation room Epidemic spread

Epidemic · SIR model
Online
S → I → R · R₀ = β/γ
Epidemic state
🦠 Đang ủ
ring: 🟦 S · 🟥 I · ⬜ R
Susceptible S
Infectious I
Recovered/immune R
Reproduction number R₀
Epidemic peak (highest I)
Cumulative cases
The idea
No one "controls" the epidemic — it EMERGES from countless personal contacts. The epidemic flares when each case infects >1 person (R₀>1), and fades on its own when enough people are immune (herd immunity).
🟦 susceptible · 🟥 infectious (red ring = spread range) · ⬜ immune · hover to "distance" people (push them apart)
Your browser has canvas disabled.
Epidemic curve (S · I · R over time) SIR