Quasi-experimental design assesses reliability of public health surveillance systems, indicating improved efficiency.
Public health surveillance systems are crucial for monitoring infectious diseases in Tanzania. However, their reliability and effectiveness need rigorous evaluation. A mixed-method approach combining quantitative analysis with qualitative interviews was employed to assess system performance. The quasi-experimental design revealed that the average response time for reporting suspected cases was reduced by 15% compared to baseline data, indicating improved system efficiency. This study provides evidence of a significant improvement in public health surveillance systems' reliability in Tanzania. Further systematic evaluations and continuous training are recommended to sustain these improvements. public health surveillance, quasi-experimental design, reliability assessment, infectious diseases Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Misanga et al. (2011) studied this question.
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