African Journal of Public Health and Health Systems | 15 January 2014
Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Time-Series Forecasting Models
A, n, t, w, i, A, f, e, d, i, ,, A, m, e, y, a, w, A, s, a, r, e
Abstract
This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Ghana: time-series forecasting model for measuring yield improvement in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of public health surveillance systems systems in Ghana: time-series forecasting model for measuring yield improvement, Ghana, Africa, Medicine, scoping review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. 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.