Public health surveillance systems are crucial for monitoring diseases and managing public health emergencies in Senegal. A difference-in-differences model was applied to assess changes in public health surveillance system adoption over time, comparing pre- and post-intervention periods across selected regions. The DiD analysis revealed a significant increase of 25% in the adoption rate of these systems in intervention regions compared to control regions, with confidence intervals indicating robustness of findings. The difference-in-differences model provided clear evidence of system adoption trends and highlighted key factors influencing their implementation. Future research should explore long-term impacts and scalability of the observed increases in system adoption rates. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.