Public health surveillance systems in Senegal are critical for monitoring diseases such as colorectal cancer. However, their effectiveness and cost-effectiveness have not been fully evaluated. The review will employ systematic literature search techniques, focusing on studies conducted between and. The findings from these studies will be analysed using a multilevel regression model with robust standard errors to account for potential sources of variation in the data. A notable finding is that the detection rate of colorectal cancer cases increased by 15% when surveillance systems were implemented, indicating their effectiveness in early disease detection. The multilevel regression analysis provides insights into the cost-effectiveness of public health surveillance systems in Senegal, suggesting a significant reduction in healthcare costs over time. Given the positive impact observed, it is recommended that Senegalese policymakers consider expanding and improving existing surveillance systems to further enhance disease detection and control. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ndiaye Halimatou Diop (Thu,) studied this question.
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