African Mechanical Engineering Research | 13 July 2006
Methodological Evaluation of Public Health Surveillance Systems in Nigeria: Quasi-Experimental Design for Cost-Efficiency Measurement
F, e, m, i, A, d, e, y, e, m, o, ,, O, b, i, n, n, a, A, n, y, a, e, g, b, u, l, e, m, ,, C, h, i, n, e, d, u, N, w, o, s, u, o, b, i
Abstract
Public health surveillance systems in Nigeria are critical for monitoring infectious diseases and implementing effective control measures. However, their cost-effectiveness is not well-documented. A mixed-method approach combining quantitative data analysis with qualitative insights was employed to assess system efficiency and resource allocation. The analysis revealed that underutilized resources accounted for approximately 25% of the total investment, suggesting inefficiencies in surveillance operations. Quasi-experimental design provided robust evidence on cost-effectiveness metrics without requiring empirical data from a controlled experiment. Optimization strategies should prioritise reallocation of underutilized resources to high-risk areas identified through surveillance systems. Public health, Surveillance Systems, Quasi-Experimental Design, Cost-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.