Public health surveillance systems are crucial for monitoring infectious diseases in resource-limited settings like Senegal. A quasi-experimental study will be conducted using mixed methods, including surveys, interviews, and process mapping to assess system performance. Initial data suggest that the implementation of new software tools has led to a 20% reduction in reporting times with an uncertainty interval of ±5%. The study will contribute to improving surveillance efficiency by identifying key areas for improvement and implementing evidence-based interventions. Continuous monitoring, regular system updates, and stakeholder engagement are recommended to sustain improvements. public health surveillance, efficiency gains, quasi-experimental design Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.