Epidemiology & Public Health
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SIR Model — Susceptible

Rate of change of the susceptible population in the SIR compartmental model.

Formula

dSdt=−βSI\frac{dS}{dt} = -\beta S I

Variables

SSusceptible fraction
IInfected fraction
\betaTransmission rate
tTime

Example

β = 0.3, S = 0.9, I = 0.1 → dS/dt = −0.027

How it works

This equation says the susceptible group shrinks at a rate proportional to how many people are susceptible and how many infected people are currently present. The minus sign appears because contacts between susceptible and infected individuals move people out of the susceptible compartment into the infected compartment, so the susceptible fraction must decrease. The transmission rate β bundles together how often people make effective contacts and how likely those contacts are to cause infection.

When to use it

Use this when modeling the early or mid-stage spread of an infectious disease in a well-mixed population with no births, deaths, or immunity changes beyond the SIR transitions. It is especially useful in deterministic epidemic models for estimating how quickly susceptibility is depleted under different transmission assumptions.

Worked example, step by step

Given: β = 0.45, S = 0.8, I = 0.12 Step 1: Multiply S and I: 0.8 × 0.12 = 0.096 Step 2: Multiply by β: 0.45 × 0.096 = 0.0432 Step 3: Apply the negative sign: dS/dt = −0.0432 Final answer: the susceptible fraction is decreasing at 0.0432 per unit time.

Common mistakes to avoid

  • Forgetting the negative sign and interpreting dS/dt as an increase
  • Using population counts instead of fractions without adjusting the model form
  • Treating β as a pure probability rather than a rate parameter that reflects contact frequency and transmission likelihood

Did You Know?

The SIR model was first published by Kermack and McKendrick in 1927 and is still the foundation of modern epidemic modelling.

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Reviewed & maintained by the FormulaWon editorial teamLast reviewed September 2026