Public health surveillance systems are crucial for monitoring disease prevalence and guiding public health interventions in Nigeria. A systematic literature review was conducted to assess the validity and reliability of surveillance data from to. Studies were selected based on predefined inclusion criteria, including use of quasi-experimental methods for outcome measurement. The analysis revealed that while most studies adhered to basic methodological standards, only 30% reported robust statistical models and had confidence intervals within the specified range, indicating variability in data interpretation. Despite challenges in methodology, there is potential for improvement through enhanced reporting of statistical analyses and increased use of validated quasi-experimental designs. Nigerian public health entities should prioritise methodological rigor to ensure more reliable surveillance data. This includes adopting standardised methodologies and improving the transparency of their research protocols. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Okerechiwa et al. (Thu,) studied this question.