Municipal water systems in Nigeria face significant challenges related to supply, distribution, and quality control. A systematic literature review was conducted using Bayesian hierarchical models to analyse data from Nigerian municipal water systems. The focus is on identifying yield improvement techniques and evaluating their effectiveness. The analysis revealed that the implementation of Bayesian hierarchical models can significantly enhance the accuracy of yield predictions, with an average increase in estimated yields by 15% across different regions. Bayesian hierarchical models offer a robust framework for assessing municipal water system performance and identifying areas for improvement. This approach provides more precise estimations compared to traditional methods. Public health officials should consider implementing these models to improve the efficiency of municipal water systems, thereby reducing shortages and ensuring reliable water supply. municipal water systems, Bayesian hierarchical model, yield analysis, Nigeria The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Ajao et al. (Fri,) studied this question.