Public health surveillance systems are crucial for monitoring disease outbreaks and ensuring effective response strategies in Kenya. A comprehensive search strategy was employed across multiple databases including PubMed and Scopus. Studies were included if they utilised difference-in-differences models for measuring system reliability. Methodological quality was assessed using predefined criteria. Thirty studies met the inclusion criteria, with a majority (70%) employing difference-in-differences models to evaluate surveillance system performance over time. The review highlights the increasing use of difference-in-differences models in evaluating public health surveillance systems in Kenya. However, methodological variability was noted among studies. Future research should standardise methodologies and include more longitudinal data to improve reliability assessments. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ochieng Kinyanjui (Wed,) studied this question.