Simulated Neonatal Mortality Rates for Uganda, 2010-2023

Uganda is the geographic focus of this simulated dataset for validating a Bayesian spatiotemporal model of neonatal mortality. The data contains monthly district-level rates of newborn deaths within the first 28 days of life, covering a 14-year period from January 2010. It was created by George Bamwebaze and shared under a CC-BY-4.0 license.

Use Cases

• Validate Bayesian dynamic linear models based on simulated neonatal mortality rates.
• Assess spatiotemporal forecasting techniques for public health indicators using district-level data.
• Test Markov chain Monte Carlo (MCMC) and Kalman filtering implementations on simulated health data.
• Benchmark model performance for mortality rate prediction before and after intervention periods.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and initial exploration.
• Simulated data covers a 14-year time range (2010-2023) for longitudinal analysis.
• Focus on a specific geographic region (Uganda) and health outcome (neonatal mortality).

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Data is simulated, not observed, which may limit real-world applicability.
• Description metadata is limited; actual data structure requires manual inspection after download.

Provenance

Source

George Bamwebaze via figshare.

Collection Method

Data was generated via simulation for model validation, as described in the study.

Time Range

January 2010 to December 2023 (simulated 14-year period).

Freshness

Last updated 2026-03-19 17:42:40; freshness should be verified.

Geography

Uganda, at the district level.