Reliability Assessment of Public Health Surveillance Systems in Senegal: A Quasi-Experimental Study

Public health surveillance systems are crucial for monitoring infectious diseases in Senegal. However, their reliability needs to be rigorously assessed. A quasi-experimental study was conducted, employing statistical analysis with robust standard errors to assess system performance. The preliminary findings suggest that the detection rate for notifiable diseases is 85% (95% confidence interval: 78-92%). This study provides a methodological framework for evaluating public health surveillance systems, contributing to their improvement in Senegal. Further studies should include cross-validation and explore system scalability across different regions of Senegal. Public Health Surveillance, Reliability Assessment, Quasi-Experimental Design, Senegal Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.