Public health surveillance systems in Kenya are crucial for monitoring infectious diseases and other public health issues. However, their reliability remains a concern, necessitating methodological evaluation to ensure effective disease control. A mixed-methods approach combining quantitative analysis and qualitative interviews was employed. The study used a sample size of 100 healthcare facilities across Kenya for data collection, with statistical models to assess reliability. The results indicated that the mean timeliness score for data reporting from surveillance systems was above 85%, suggesting an efficient system but room for improvement in completeness and accuracy. This quasi-experimental design provided insights into the strengths and weaknesses of Kenya's public health surveillance systems, laying a foundation for future improvements to enhance their reliability. Based on findings, recommendations include strengthening data quality control mechanisms, enhancing training programmes for healthcare workers, and implementing regular system audits. public health surveillance, timeliness, completeness, reliability, Kenya Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
MWANZIA et al. (Thu,) studied this question.