Public health surveillance systems are essential for monitoring disease prevalence and guiding intervention strategies in Senegal. However, their effectiveness varies across different regions and time periods. Panel data will be employed to estimate the impact of surveillance system activities on clinical outcomes. A fixed effects model will be used, accounting for unobserved heterogeneity across regions and time periods. Robust standard errors will be applied to ensure reliable estimates. The analysis revealed a significant positive correlation between active surveillance efforts and improved clinical outcomes in certain regions of Senegal. This study provides insights into the efficacy of public health surveillance systems, highlighting areas where improvements are needed to enhance their impact on patient care. Future research should consider integrating additional variables, such as socioeconomic factors, to improve the robustness of the findings and inform policy decisions. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Niang et al. (Sun,) studied this question.