African E-Learning Research | 11 June 2002
Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Time-Series Forecasting Models
H, a, b, y, a, r, i, m, a, n, a, B, i, z, i, m, u, n, g, u, ,, K, a, b, u, y, e, N, d, a, y, i, s, h, i, m, i, y, e
Abstract
Public health surveillance systems are essential for monitoring disease outbreaks and managing public health crises efficiently. A systematic review will be conducted to identify, assess, and synthesize studies related to public health surveillance in Rwanda. Studies will be screened using predefined inclusion criteria, and a narrative synthesis approach will be employed for data aggregation. The analysis indicates that the majority of reviewed studies focus on disease-specific monitoring with limited comparative analyses across different systems. While current methods provide valuable insights, there is room for improvement in comparing cost-effectiveness among surveillance systems. Further research should explore comprehensive comparisons and incorporate additional metrics to enhance the evaluation process. 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.