SIR Epidemic Model: Bifurcation at R₀ = 1

Susceptible–Infected–Recovered dynamics: drag R₀ across the critical threshold and watch the phase portrait change

R₀ = 3.00

Time Series: S, I, R over time

Phase Portrait: S vs I

Bifurcation Diagram: Peak Infection vs R₀

Final Size Relation

The SIR Model and Its Bifurcation

The SIR model: dS/dt = −βSI, dI/dt = βSI − γI, dR/dt = γI. The basic reproduction number R₀ = β/γ determines whether an epidemic occurs.

When R₀ < 1: each infected person infects fewer than one others → epidemic dies out immediately. Disease-free equilibrium is stable.

When R₀ > 1: epidemic occurs → infected fraction grows before eventually declining. The disease-free equilibrium loses stability — a transcritical bifurcation at R₀ = 1.

Final size r∞ satisfies: ln(1−r∞) = −R₀·r∞ (implicit equation, no closed form). The fraction ever infected goes from 0 (R₀≤1) to a positive value (R₀>1).