Public health surveillance systems in Tanzania are crucial for monitoring infectious diseases and other public health issues. A longitudinal study will employ a mixed-method approach, combining quantitative data from surveillance reports with qualitative interviews to assess system performance over time. Initial analysis suggests that while there are significant improvements in reporting accuracy (85% of reported cases were verified), challenges persist in timely notification and resource allocation (30% delay in response). The quasi-experimental design provides insights into the strengths and weaknesses of the surveillance systems. Enhancing training for health workers, improving IT infrastructure, and increasing financial support are recommended to improve system efficiency. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.