African Animal Genetics (Agri/Animal Science) | 10 October 2006
Cost-Effectiveness Analysis of Public Health Surveillance Systems in Kenya Using Difference-in-Differences Methodology
M, u, t, u, a, M, w, i, n, y, i, ,, O, g, i, n, g, a, K, i, b, i, i
Abstract
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 $\text{logit}(p<em>i)=\beta</em>0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.