Simulated Neonatal Mortality Rates for Uganda, 2010-2023

9.5 KB of simulated monthly neonatal mortality rates at the district level in Uganda, covering a 14-year period from January 2010. The data was generated by George Bamwebaze to test a Bayesian spatiotemporal model for evaluating Sustainable Development Goal (SDG) interventions. The model was formulated using health-related covariates and assessed via Markov chain Monte Carlo (MCMC) simulations.

Use Cases

• Validate Bayesian spatiotemporal forecasting models based on simulated neonatal mortality rates.
• Analyze the impact of SDG-era health interventions based on the described temporal coverage before and after implementation.
• Test parameter estimation techniques like Kalman filtering and Gibbs sampling on simulated public health data.

Strengths

• Data covers a simulated 14-year time span from 2010, allowing for longitudinal analysis.
• Model is based on described health-related covariates and spatial-temporal dimensions.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope.
• Row count and specific column definitions are unknown; field semantics must be inferred after download.
• Data is simulated, not observed, which limits direct real-world inference.

Provenance

Source

George Bamwebaze via figshare

Collection Method

Data was simulated for a modeling study using Markov chain Monte Carlo (MCMC) techniques.

Time Range

January 2010 to December 2023 (simulated 14 years)

Freshness

Last updated 2026-03-19 17:42:43; freshness should be verified.

Geography

Uganda, at the district level