Public health surveillance systems are essential for monitoring infectious diseases and other health threats in Ghana. However, their effectiveness varies across different regions. A mixed methods study combining quantitative and qualitative data was conducted to assess the impact of DID analysis on yield improvements in surveillance systems across regions of Ghana. In one region evaluated, the DID model indicated a significant increase in the detection rate of infectious diseases by 15% compared to pre-intervention levels (95% CI: 0. 7-2. 3). The study supports the use of DID for evaluating yield improvements in public health surveillance systems and highlights regional disparities. Future research should consider longitudinal data collection methods to further validate findings and explore long-term impact. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Appiah et al. (Fri,) studied this question.