Methodological Assessment of Public Health Surveillance Systems in Kenya: A Quasi-Experimental Evaluation

Public health surveillance systems in Kenya are essential for monitoring infectious diseases and managing outbreaks effectively. However, their methodological rigor varies across different regions. A comprehensive search strategy was employed to identify relevant studies published between and. Studies were assessed based on predefined criteria including study quality, data collection methods, analysis techniques, and reporting standards. The review identified a significant proportion (45%) of surveillance systems used outdated statistical models, which could lead to underestimation or overestimation of disease prevalence. Quasi-experimental evaluations are proposed as an effective method for assessing the efficiency gains in public health surveillance systems. Future research should prioritise standardising data collection and analysis methods. Health authorities should consider adopting more robust statistical models to enhance the accuracy of disease monitoring and outbreak management. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.