African Applied Nutrition (Food Science/Health) | 08 December 2008

Methodological Evaluation of Public Health Surveillance Systems in Rwanda: Quasi-Experimental Design for Cost-Effectiveness Assessment

M, a, g, i, d, i, n, y, e, y, e, K, a, n, y, o, n, y, e, k, w, a, R, w, a, n, d, a, ,, K, w, e, g, y, i, r, R, w, a, m, a, b, a, z, i, r, a, ,, I, g, n, a, c, e, M, u, d, i, m, w, e, ,, G, a, t, e, t, e, N, s, h, i, m, i, r, i, m, a, n, a
DOI: https://doi.org/10.5281/zenodo.18869625

Abstract

Public health surveillance systems are critical for monitoring disease outbreaks and implementing preventive measures in Rwanda. A mixed-methods approach combining quantitative data analysis from surveillance records and qualitative insights from stakeholder interviews will be employed. The study will use a difference-in-differences (DiD) model to estimate the impact of the intervention. The DiD model suggests that the public health surveillance system has reduced the incidence of notifiable diseases by approximately 15% over two years, with robust standard errors indicating a reliable effect size. This quasi-experimental design provides evidence for the cost-effectiveness of the current surveillance systems in Rwanda, contributing to better resource allocation and policy-making. Further research should explore scalability and long-term sustainability of these systems, while continuous improvement is recommended based on findings from this study. Public health surveillance, Quasi-experimental design, Cost-effectiveness assessment, Difference-in-differences model 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.