Basic reproduction number (R0) and herd immunity
- Measure
R0 tells how many people one case infects in a population with no immunity; from it comes the share of immune people that stops spread.
What it is
The basic reproduction number (R0) is the average number of secondary cases that one case produces in a fully susceptible population. The effective reproduction number (Rt) is the same average at a given moment, with part of the population immune or control measures in place. If R is above 1 the epidemic grows; below 1, it dies out. The herd immunity threshold, 1 − 1/R0, is the share of immune people needed for each case to cause fewer than one new case.
Formula and reading
- Herd immunity threshold: H = 1 − 1/R0.
- Critical vaccine coverage: Vc = (1 − 1/R0) / E, where E is vaccine effectiveness (0 to 1).
- Rt ≈ R0 × s, where s is the share of the population still susceptible.
- Reading: R above 1, growth; equal to 1, stable endemic level; below 1, the outbreak dies out.
Worked example
- Data (made up): a respiratory infection has R0 = 5; the available vaccine has 90 % effectiveness.
- Herd immunity threshold: 1 − 1/5 = 1 − 0.2 = 0.8, that is, 80 % of the population must be immune.
- Coverage needed: 0.80 / 0.90 = 0.889; rounding up, 89 % of the population vaccinated.
- Current situation: coverage is 70 %; immune = 0.70 × 0.90 = 0.63 (63 %).
- Susceptible: 1 − 0.63 = 0.37 (37 %).
- Effective R: 5 × 0.37 = 1.85; since it is above 1, one imported case can start an outbreak.
- To bring R below 1, fewer than 20 % must be susceptible: 5 × 0.20 = 1.
- Reading: at 70 % coverage each case infects almost 2 people on average; raising coverage to 89 % breaks the chain.
Markers
- R0
- Rt
- 1 − 1/R0
- Herd immunity
How to read it
- Every unvaccinated child adds susceptibles: coverage below the threshold in one municipality allows outbreaks even if the national average is high.
- Herd immunity protects those who cannot be vaccinated (very young infants, immunosuppressed people) only if the rest of the population is vaccinated.
Common pitfalls
- Using the threshold as the coverage target without correcting for vaccine effectiveness: it underestimates the coverage needed.
- Treating R0 as a biological constant: it changes with contact density and control measures.
- Mixing up R0 (fully susceptible population) and Rt (the current situation).
Test yourself
Think of the answer, then tap the question to see it.
If R0 = 4, what share of the population must be immune to reach herd immunity?
1 − 1/4 = 0.75, that is, 75 %.
How do R0 and Rt differ?
R0 assumes a fully susceptible population with no control; Rt is the effective number at a given moment, with immune people and measures in place.
Why is the vaccine coverage needed higher than the herd immunity threshold?
Because no vaccine protects 100 %: the threshold must be divided by vaccine effectiveness.
What happens to an outbreak when Rt falls below 1?
Each case produces on average fewer than one new case, and the outbreak fades out.
Elsewhere in DurgiPedia
- Herd immunity and outbreak control
- Colombia's PAI schedule (which vaccines, at what age)
- Vaccine types: live, inactivated, subunit, toxoid, mRNA, vector
Connections
Educational content on epidemiological and statistical methods; the examples use made-up numbers to teach the calculation. Not a clinical or legal guide: current Colombian rules are in the official sources.
Sources: Coronavirus disease (COVID-19): Herd immunity, lockdowns and COVID-19 (World Health Organization, 2020); Principles of Epidemiology | Lesson 1 - Section 11 (Centers for Disease Control and Prevention, 2012).
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Representative model, for educational purposes only.
