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Medical Sciences
Epidemiology
1927
Intermediate

SIR Model

dSdt=βSI,dIdt=βSIγI,dRdt=γI\frac{dS}{dt} = -\beta SI, \quad \frac{dI}{dt} = \beta SI - \gamma I, \quad \frac{dR}{dt} = \gamma I

Susceptible become Infected at rate βSI; Infected Recover at rate γI.

By W.O. Kermack, A.G. McKendrick

Medical Sciences
SIR Model
1927 · W.O. Kermack
Classroom Ready
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Why it matters: Foundation of epidemiology—used for COVID-19, flu, and vaccination policy.

Discoverers: W.O. Kermack, A.G. McKendrick (1927)

What does it mean?

Susceptible become Infected at rate βSI; Infected Recover at rate γI.

Why should I care?

Foundation of epidemiology—used for COVID-19, flu, and vaccination policy.

Equation Compass

Variables & Units

SymbolNameUnitMeaning
SSSusceptibleFraction susceptible
IIInfectedFraction infected
RRRecoveredFraction recovered
ββTransmissionInfection rate
γγRecovery rate1/infectious period

Worked Example

R₀ = β/γ; R₀ > 1 → epidemic grows.

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Equation Universe

SIR Model

dSdt=βSI,dIdt=βSIγI,dRdt=γI\frac{dS}{dt} = -\beta SI, \quad \frac{dI}{dt} = \beta SI - \gamma I, \quad \frac{dR}{dt} = \gamma I

Real-world impact

Pandemic forecasting

Compartment models guide public-health policy and vaccine rollout.

Photo: Unsplash — medical research

Susceptible become Infected at rate βSI; Infected Recover at rate γI.

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