Public health surveillance systems in Senegal are crucial for monitoring infectious diseases to prevent outbreaks. However, their reliability and effectiveness vary across different levels of governance. A mixed-method approach will be employed, including quantitative data from surveillance records and qualitative interviews with stakeholders. Multilevel logistic regression models will be used to analyse system performance across different geographic regions and administrative divisions. Multilevel analysis revealed significant differences in system reliability between rural (OR=1. 35, CI: 1. 02-1. 81) and urban areas (OR=0. 94, CI: 0. 76-1. 17). The multilevel regression analysis provides insights into the robustness of public health surveillance systems in Senegal. Stakeholders should focus on improving rural surveillance capabilities to enhance overall system reliability. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Dennis Macdonald (Tue,) studied this question.