Methodological Evaluation of Public Health Surveillance Systems in Tanzania Using Quasi-Experimental Design to Assess System Reliability

Public health surveillance systems in Tanzania are crucial for monitoring diseases such as malaria and tuberculosis. However, their reliability is often uncertain due to potential biases or inefficiencies. A quasi-experimental design was employed to assess the robustness of surveillance data. This included comparing pre- and post-intervention metrics from selected districts across different time periods. The analysis revealed that surveillance accuracy improved by 15% when adjusting for seasonal variations, indicating system reliability under controlled conditions. The quasi-experimental design successfully highlighted the strengths and weaknesses of Tanzania's public health surveillance systems, providing insights into potential improvements. Future studies should consider longitudinal data collection to further validate findings and implement targeted interventions based on identified system deficiencies. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.