Diabetes Incidence and Predictors in Ghana, 2018-2022

Abdul-Karim Iddrisu provides a dataset supporting spatial epidemiology research on diabetes in Ghana. It contains national diabetes case data from the District Health Information Management System (DHIMS) for the years 2018 to 2022. The data underpins analyses of regional hotspots, socioeconomic predictors, and relative risk.

Use Cases

• Identifying regional diabetes hotspots and coldspots based on incidence rates
• Estimating relative risk of diabetes using Bayesian spatial and spatiotemporal models
• Analyzing spatial associations between diabetes burden and socioeconomic determinants
• Quantifying the importance of regional predictors using Gradient Boosting and SHAP analysis

Strengths

• Data covers a five-year time range (2018-2022)
• Spatial analysis includes multiple established methods (e.g., LISA, Getis-Ord, SaTScan)
• Dataset is small (2.6 KB), facilitating quick download and inspection

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

District Health Information Management System (DHIMS)

Collection Method

National diabetes cases were analyzed; incidence rates were smoothed via Empirical Bayesian methods.

Time Range

2018 to 2022

Freshness

Last updated 2026-05-13 08:27:17

Geography

Ghana