Methodological Assessment of Public Health Surveillance Systems in South Africa Using Difference-in-Differences Models

Public health surveillance systems in South Africa play a crucial role in monitoring and responding to infectious diseases. A comprehensive review was conducted, employing DID models with robust standard errors to assess system performance over time. The analysis revealed a significant decline in disease incidence rates post-intervention, suggesting effective risk reduction strategies within the surveillance systems. DID models provided valuable insights into the impact of implemented interventions on public health outcomes in South Africa. Further studies should explore long-term effects and scalability of these intervention measures across different regions. Public Health Surveillance, Difference-in-Differences Models, Risk Reduction, South Africa Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.