Deprivation and Testing Ratios Across 22 French Metropolitan Areas by Epidemic Wave

Luka Canton published a dataset on 2026-05-08 containing unadjusted and adjusted testing incidence rate ratios comparing the most and least deprived IRIS profiles. The data covers 22 metropolitan areas in European France and is analyzed according to epidemic wave. Ratios were computed using generalized additive mixed models (GAMMs).

Use Cases

• Analyze disparities in testing rates based on socioeconomic deprivation across metropolitan areas.
• Model the association between deprivation and disease incidence across different epidemic waves.
• Compare adjusted and unadjusted testing ratios to understand confounding factors.

Strengths

• Data is licensed under CC-BY-4.0, permitting broad reuse.
• Analysis is structured by 22 distinct metropolitan areas and separate epidemic waves.
• Ratios are derived from generalized additive mixed models (GAMMs), a specific statistical method.

Limitations

• The dataset is very small at 43.7 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Luka Canton

Collection Method

Ratios computed using generalized additive mixed models (GAMMs).

Freshness

Last updated 2026-05-08 17:39:07; freshness should be verified.

Geography

22 metropolitan areas in European France