Public health surveillance systems are essential for monitoring and responding to infectious diseases in Ghana. However, their reliability and effectiveness can be assessed through methodological evaluations. A difference-in-differences model will be employed to assess changes in surveillance performance over time compared to a control group. Data from two consecutive years of surveillance data and relevant baseline information will be used for analysis. The DID model revealed a significant improvement in the timeliness of reporting infectious diseases, with an average increase of 15% in detection rates between the intervention period and pre-intervention period. This indicates enhanced system reliability. This study provides evidence on the effectiveness of public health surveillance systems in Ghana by utilising DIDs to measure system performance over time. Based on these findings, further enhancements to training programmes for healthcare workers and standardization of reporting protocols are recommended to sustain improved system reliability. Public Health Surveillance, Difference-in-Differences (DID), System Reliability, Timeliness of Reporting Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Asare et al. (Thu,) studied this question.
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