Epidemiology & Public Health
Intermediate

Herd-Immunity Threshold

Minimum fraction of the population that must be immune to prevent sustained spread.

Formula

H=1−1R0H = 1 - \frac{1}{R_0}

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Variables

HHerd-immunity threshold
R_0Basic reproduction number

Example

R₀ = 5 → H = 1 − 1/5 = 80 % must be immune

How it works

This formula gives the smallest proportion of people who need to be immune so that each infected person, on average, passes the disease to less than one other person. It comes from the idea that immunity reduces the pool of susceptible contacts, and once the effective reproduction number drops below 1, transmission cannot keep growing steadily. A larger basic reproduction number means the pathogen spreads more easily, so a larger share of the population must be immune to stop sustained outbreaks.

When to use it

Use this when estimating how much of a population must be protected by vaccination or prior infection to interrupt ongoing spread of an infectious disease. It is especially useful in public-health planning, outbreak modeling, and comparing how contagious different diseases are.

Worked example, step by step

Suppose a disease has a basic reproduction number of R₀ = 4. Use the herd-immunity formula: H = 1 - 1/R₀ Substitute the value: H = 1 - 1/4 Convert to a decimal: H = 1 - 0.25 Calculate: H = 0.75 Convert to a percentage: H = 75% So, about 75% of the population would need to be immune to stop sustained spread under idealized assumptions.

Common mistakes to avoid

  • Forgetting to convert the result into a percentage when reporting the threshold
  • Using this formula for a disease with changing R₀ without adjusting for real-world conditions
  • Assuming herd immunity means zero cases instead of just preventing sustained transmission

Did You Know?

For measles (R₀ ≈ 15), about 93–95 % of the population must be immunised — one of the hardest thresholds to maintain.

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Reviewed & maintained by the FormulaWon editorial teamLast reviewed September 2026