IA idea · Health, biology & medicine
How much vaccination is enough to stop measles?
Research question
Across countries, how is measles incidence related to vaccination coverage, and is there evidence of a threshold near the herd-immunity level predicted by R₀?
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Why it makes a good exploration
Measles is extremely contagious, so its herd-immunity threshold is very high. Comparing WHO data with the simple formula 1 − 1/R₀ links statistics with epidemic modelling.
The mathematics you'll need
- Scatter plots with log-scaled incidence
- Correlation and regression
- Herd immunity threshold 1 − 1/R₀
- Piecewise or threshold models
Modelling the data, step by step
This idea usually needs a piecewise model. See it worked step by step, with a criterion tip at every step: Piecewise models.
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Where the data comes from
Coverage and reported cases by country and year from the WHO Global Health Observatory.
- WHO Global Health Observatory — 1,000+ health indicators by country (immunisation, mortality, risk factors).
Real data for this idea
- Primary source: World Bank Open Data: Immunisation, measles (SH.IMM.MEAS). Percentage of children aged 12–23 months vaccinated, by country and year. Licence: CC BY 4.0 for most datasets (the World Bank's licence page lists any exceptions).
- Also useful: WHO Global Health Observatory: WHO immunisation data portal. Use the measles reported-cases and coverage tables for the countries you choose. Licence: CC BY-NC-SA 3.0 IGO: non-commercial use only, credit WHO, share alike.
- Readable chart: Our World in Data: Share of one-year-olds vaccinated against measles. Use it to see the pattern; download your numbers from the primary source or the chart's own download. Cite as: Our World in Data, ‘Share of one-year-olds vaccinated against measles’, CC BY 4.0. Original source: WHO & UNICEF (2026); UN, World Population Prospects (2024).
- Readable chart: Our World in Data: Reported cases of measles. Use it to see the pattern; download your numbers from the primary source or the chart's own download. Cite as: Our World in Data, ‘Reported cases of measles’, CC BY 4.0. Original source: World Health Organization, Global Health Observatory (2026).
Coverage for recent years is partly estimated: say which years are reported and which are estimates. WHO data is licensed for non-commercial use only (CC BY-NC-SA 3.0 IGO): fine for a school project, and credit WHO. Links checked October 2026; we link to the data and never copy it. More free data sets.
A possible outline
- Explain R₀ and herd immunity.
- Plot incidence against coverage.
- Model the relationship; test for a threshold.
- Compare with the theoretical threshold.
- Reflect on under-reporting, clustering and imported cases.
Pitfalls that cost marks
- Treating countries as one population.
- Ignoring reporting quality.
- Logs of zero incidence.
Showing personal engagement
- Look at your own country's history of outbreaks.
- Explain clustering of unvaccinated groups.
- Discuss the ethics of using this data carefully.
See Criterion C: personal engagement for what examiners look for.
Which course is it for?
| Course | Fit | Maths to lean on |
|---|---|---|
| AA SL | Good fit | Scatter plots with log-scaled incidence; Correlation and regression |
| AA HL | Not a natural fit | The mathematics is mainly from the AI course; at AA HL the exploration would need an AA-level approach (calculus, proof or probability theory) to reach the top of Criterion E. |
| AI SL | Good fit | Scatter plots with log-scaled incidence; Correlation and regression |
| AI HL | Good fit | Scatter plots with log-scaled incidence; Correlation and regression |
Level: Solid. Needs some independent work beyond class examples. See how the IA differs between AA and AI, SL and HL.
How this idea reaches the top bands
Reflection (D)
For this idea, start with the weak points: treating countries as one population; and ignoring reporting quality. Say how each one affects your answer.
Use of mathematics (E)
SL: scatter plots with log-scaled incidence; correlation and regression; herd immunity threshold 1 − 1/R₀; piecewise or threshold models, each explained in your own words and carried out correctly.
How health & biology explorations reach the top bands in general: Health, biology & medicine IA ideas. Guides: A · B · C · D · E · self-grade sheet.
Taking it further
Simulate an SIR model with vaccination and compare outbreak sizes around the threshold.
Extending it for HL
Add an HL technique the question genuinely needs: what an HL health & biology exploration adds.
See a complete IA, marked
Is it cheaper to leave the heating on low overnight? A two-temperature model of my bedroom (AI HL) is a complete health & biology exploration, marked on every criterion.
Frequently asked questions
Which IB Maths course is this IA idea for?
It works for AI SL, AI HL and AA SL. We rate it Solid: it needs some independent work beyond class examples.
What mathematics does this IA use?
Scatter plots with log-scaled incidence, correlation and regression, herd immunity threshold 1 − 1/R₀ and piecewise or threshold models.
Where can I get data for this IA?
Coverage and reported cases by country and year from the WHO Global Health Observatory. Checked sources and tools: World Bank Open Data, WHO Global Health Observatory and Our World in Data.
Turn this idea into your IA
The planner opens with “How much vaccination is enough to stop measles?” filled in: the question, the maths and the data sources.
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