Water treatment facilities are critical for ensuring safe drinking water in Senegal's rural communities. A cost-effectiveness analysis was conducted using a fixed effects regression model to estimate the impact of various water treatment technologies on reducing disease incidence among rural populations in Senegal. The model is represented as: Y₈ₓ = eta₀ + eta₁X₈ₓ + uᵢ where Y₈ₓ is the health outcome (e. g. , reduction in diarrheal diseases), X₈ₓ represents treatment system type, and uᵢ accounts for unobserved heterogeneity across regions. The analysis revealed that solar disinfection systems showed a significant reduction in disease incidence compared to traditional methods by 20% with a statistically robust confidence interval (95%). This study provides evidence on the cost-effectiveness of different water treatment technologies, contributing to sustainable public health interventions in Senegal. Policy recommendations include prioritising solar disinfection systems for their superior cost-effectiveness and scalability across diverse rural settings.
Diop et al. (Sat,) studied this question.