Methodological Evaluation of Public Health Surveillance Systems in Tanzania: Quasi-Experimental Design for Risk Reduction Measurement

Public health surveillance systems in Tanzania are crucial for monitoring diseases and guiding interventions to reduce morbidity and mortality. The research employs a mixed-methods approach including quantitative data analysis through logistic regression models and qualitative interviews to assess system performance and user satisfaction across different geographic areas. In the evaluated region, there was a significant decrease (p < 0. 05) in reported cases of malaria by 30% following enhanced surveillance efforts compared to baseline years. The quasi-experimental design proved effective in identifying and quantifying risk reduction outcomes from public health surveillance systems. Public health authorities should prioritise continuous system improvement based on findings, including increased funding for training and technology upgrades. public health surveillance, malaria, quasi-experimental design, risk reduction, Tanzania Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.