African Physiotherapy Research (Clinical) | 26 April 2010
Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Difference-in-Differences Models for Measuring Risk Reduction
O, d, h, i, a, m, b, o, O, m, o, l, l, o, ,, K, i, s, i, i, N, j, u, g, u, n, a, ,, M, a, c, h, u, k, i, M, w, a, n, g, i, ,, N, y, a, m, b, u, r, a, G, i, t, o, n, g, a
Abstract
Public health surveillance systems in Kenya are crucial for monitoring diseases such as malaria and tuberculosis. The study employed a difference-in-differences (DID) model to assess changes in disease incidence rates before and after the implementation period. A significant reduction of 15% in malaria cases was observed post-intervention, with a confidence interval indicating robustness of results. The DID approach successfully highlighted the impact of surveillance system enhancements on reducing disease incidence. Further research should explore scalability and cost-effectiveness of similar interventions across different regions. Public Health Surveillance, Difference-in-Differences Model, Risk Reduction, Kenya 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.