Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Panel Data for Efficiency Analysis,

Public health surveillance systems are crucial for monitoring disease prevalence and implementing effective interventions in Kenya's rural areas. A panel-data estimation technique was employed to analyse surveillance system performance from to, incorporating robust standard errors for uncertainty quantification. Efficiency gains were noted in disease detection and intervention response times compared to baseline levels, with a significant improvement of 15% (95% CI: 7-23%). The study demonstrated the efficacy of longitudinal panel-data analysis for evaluating public health surveillance systems. Further research should explore scalability and cost-effectiveness of these findings to inform policy decisions in Kenya's rural healthcare settings. public health, surveillance system, efficiency gains, panel data, robust standard errors Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.