Epidemiology & Public Health
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SIR Model — Recovered

Rate at which infected individuals recover and gain immunity.

Formula

dRdt=γI\frac{dR}{dt} = \gamma I

Variables

RRecovered fraction
IInfected fraction
\gammaRecovery rate
tTime

Example

γ = 0.1, I = 0.1 → dR/dt = 0.01

How it works

This equation says that the recovered group grows in direct proportion to how many people are currently infected and how quickly each infected person leaves infection. In the standard SIR model, recovery is modeled as a constant per-capita rate γ, so each infected individual has the same average chance per unit time of recovering, making the total recovery flow equal to γI. The result increases the recovered fraction R while simultaneously reducing the infected fraction, which is why this term is the bookkeeping link between infection dynamics and immunity.

When to use it

Use this term when modeling infectious diseases in which recovery confers immunity, such as in basic epidemic models for measles-like or COVID-style compartmental analysis. It is especially useful when you want to estimate how quickly the immune/recovered pool accumulates from a known infected fraction and recovery rate.

Worked example, step by step

Given: γ = 0.25 per day, I = 0.16 Step 1: Substitute into dR/dt = γI Step 2: dR/dt = 0.25 × 0.16 Step 3: dR/dt = 0.04 per day Answer: The recovered fraction is increasing at 0.04 of the population per day.

Common mistakes to avoid

  • Using the total population instead of the infected fraction I
  • Treating γ as a percentage without converting it to a rate per unit time
  • Forgetting that this gives a rate of change of R, not the amount recovered over an entire outbreak

Did You Know?

In the SIR model, S + I + R = 1 always — every person is in exactly one compartment at any moment.

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Reviewed & maintained by the FormulaWon editorial teamLast reviewed September 2026