This replication study revisits a previous research on the adoption of regional monitoring networks in Senegal. A Bayesian hierarchical model was employed to analyse data collected over two years, incorporating spatial and temporal variations. The model accounts for regional differences and individual-level heterogeneity in network uptake. The analysis revealed significant variation in adoption rates between urban and rural areas, with a median rate of 35% across all regions, indicating substantial disparities despite the overall average. This study confirms the original findings but provides more nuanced insights into regional variations and heterogeneity within Senegal's monitoring network system. Policy recommendations include targeted interventions in underserved rural areas to enhance network coverage and effectiveness. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.