Question

When analyzing surveillance data by age, which of the following age groups is preferred? (Choose one best answer)

1. 1-year age groups
2. 5-year age groups
3. 10-year age groups
4. Depends on the disease

Answer 1

The choice of age groups when analyzing surveillance data depends on the specific context and objectives of the analysis. However, a common and practical approach is often to use 5-year age groups. This allows for a balance between capturing meaningful age-related patterns and maintaining a level of granularity that facilitates analysis. Therefore, option 2, "5-year age groups," is often preferred in epidemiological studies and surveillance data analysis.

Answer 2

When analyzing surveillance data by age, 2. 5-year age groups are commonly preferred for a balance between granularity and statistical power.

Step-by-step explanation:

When analyzing surveillance data by age, the choice of age groups depends on the specific context and purpose of the analysis. However, in general, it is common to use 5-year age groups.

Using 5-year age groups allows for a balance between having enough granularity to capture meaningful age differences and ensuring a sufficient sample size within each group for statistical analysis.

For example, if a study is focusing on understanding disease trends across different age cohorts, using 5-year age groups provides a good level of detail without sacrificing statistical power.