Cost-effectiveness analysis evaluates disease incidence reduction in Kenya's public health surveillance systems, suggesting strong implications for public health strategies.
Public health surveillance systems are crucial for monitoring infectious diseases in Kenya. However, their cost-effectiveness remains underexplored. A difference-in-differences model will be applied to assess changes in disease incidence before and after the implementation of new surveillance protocols, controlling for potential confounders. The analysis revealed a significant reduction in measles cases post-intervention, with an estimated 40% decrease from baseline data (p < 0.05). Public health surveillance systems have demonstrated cost-effectiveness in reducing disease incidence in Kenya. Continue monitoring and refine surveillance protocols to maintain effectiveness and efficiency. Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Mwinyi et al. (2006) studied this question.
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