The reliability of municipal water systems is a critical issue in developing countries like Uganda, where inadequate infrastructure leads to frequent service disruptions and health risks. The research employs a Bayesian hierarchical model to analyse data from multiple municipalities. The model accounts for spatial and temporal variations in system performance. The analysis reveals that approximately 40% of the sampled municipal water systems are unreliable, with significant variability across different regions. This study provides insights into the reliability patterns of municipal water systems in Uganda, offering a robust framework for future interventions and policy development. Policy makers should prioritise investment in infrastructure in areas with higher system unreliability identified by this model. Bayesian hierarchical models, Municipal water systems, Reliability analysis, Developing countries, Uganda The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Okello et al. (Fri,) studied this question.