Evaluation of Public Health Surveillance Systems in Ghana Using Quasi-Experimental Design to Assess System Reliability

Public health surveillance systems play a critical role in monitoring infectious diseases and other health threats in Ghana. A mixed-methods approach was used, combining quantitative data analysis with qualitative interviews. The primary dataset consists of surveillance records from - across all regions of Ghana. The proportion of timely reports received for each disease category exceeded 85%, indicating a high level of system reliability in reporting infectious diseases effectively. The quasi-experimental design successfully identified the strengths and weaknesses within the public health surveillance systems, providing evidence for improvement strategies. Based on findings, improvements are recommended to enhance timeliness and accuracy, particularly focusing on underperforming regions. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.