## Incidence and standardised rates
- Incidence is the rate of growth of new cases
- In susceptible people
- Measured in terms of new cases per unit of susceptible population
- Reported as incidence density or cumulative incidence
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## Concept of person time
- Number of persons * Time period
- Interchangeable
- 1 person x followed for 1 year = 1 person-year
- 10 people x followed 1 year = 10 person-year
- 1 person x followed 10 years = 10 person-year
---
## Example Incidence table of diabetes in a population
| Year | Population | New cases | Incidence |
|:---- | ----------:| ---------:| ---------:|
| 1 | 1000 | 20 | 20.00 |
| 2 | 980 | 30 | 30.61 |
| 3 | 950 | 40 | 42.10 |
| 4 | 910 | 50 | 54.94 |
| 5 | 860 | 40 | 46.51 |
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## Incidence can show the effects
- Change with intervention
- Change with change of exposure
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## Change of incidence rates

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## Prevalence in two populations

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## What to interpret?
- Different age structures
- How do we make sense?
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## How to use a third population
- World standard population
- SEGI population
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## SEGI population
| Age in years | Population |
|:------------ |:---------- |
| <5 | 24000 |
| 5-24 | 72000 |
| 25-39 | 40000 |
| 40-59 | 42000 |
| 60-79 | 20000 |
| 80+ | 2000 |
---
## Application of standardisation
| Age | Count (A) | Count (B) |
|:----- | ---------:| ---------:|
| <5 | 24 | 240 |
| 5-24 | 720 | 720 |
| 25-39 | 800 | 800 |
| 40-59 | 1470 | 1890 |
| 60-79 | 800 | 400 |
| 80+ | 30 | 30 |
---
## Age-standardised cancer in NZ

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## Summary
- Prevalence and incidence are descriptive measures
- Prevalence is a static measure
- Incidence is a rate
- Incidence helps to understand the trend
- Age-standardisation helps to adjust for different populations
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