Seasonal Prevalence of Enteric Pathogen Infections with Model Estimates

A dataset from figshare by Rebecca S. Kann, last updated in April 2026. It contains prevalence data for enteric pathogen infections, stratified by rainy and dry seasons. The dataset includes adjusted prevalence ratio (PR) and beta (b) estimates from generalized estimating equation models for a sample of 630 observations.

Use Cases

• Modeling seasonal associations with enteric infections based on the prevalence ratio and beta estimates.
• Comparing infection prevalence between rainy and dry seasons based on the stratified data.
• Validating or extending generalized estimating equation models for similar epidemiological studies.

Strengths

• Includes statistical model outputs (adjusted PR and b estimates) for direct analysis.
• Data is explicitly stratified by season (rainy vs. dry), enabling comparative studies.
• Sample size of 630 observations is clearly stated.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The geographic scope of the 630 observations is not specified, which may affect generalizability.

Provenance

Source

figshare, author Rebecca S. Kann.

Collection Method

Likely derived from epidemiological study using generalized estimating equation models.

Time Range

Temporal coverage is not specified in the input.

Freshness

Last updated 2026-04-28 17:41:27; freshness should be verified.

Geography

Geographic coverage is not specified in the input.