Public health surveillance systems are crucial for monitoring disease prevalence and guiding public health interventions in Nigeria. A mixed-methods approach was employed, including quantitative analysis using logistic regression to assess system performance based on predefined criteria and qualitative interviews with stakeholders for in-depth insights. The preliminary findings suggest that the current surveillance systems have a sensitivity of 85% (95% CI: 70-95%) in detecting prevalent diseases, indicating room for improvement. Despite initial indications, further refinement and validation are needed to enhance system performance and yield improvements in disease detection. Stakeholder engagement should be strengthened, and continuous monitoring of system efficiency is recommended to optimise surveillance outcomes. Public health surveillance, Nigeria, Quasi-experimental design, Yield improvement Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Williams et al. (Wed,) studied this question.