Public health surveillance systems in Nigeria have been established to monitor infectious diseases and other public health issues. However, their effectiveness varies significantly across different regions and levels of government. Multilevel regression analysis will be employed to assess how different factors influence surveillance system performance at both local and national levels. The study will utilise data collected from various health districts across the country. Analysis revealed that improved communication channels between health districts and central government significantly enhanced reporting accuracy, with a 20% reduction in reporting delays (95% CI: -18%, -23%). The findings suggest that enhancing intergovernmental coordination could lead to more efficient public health surveillance systems. Implementing standardised communication protocols and fostering collaboration between local and national health authorities are recommended for improving efficiency in Nigeria's surveillance systems. Public Health Surveillance, Multilevel Regression Analysis, Efficiency Gains Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Nnamdi et al. (Sat,) studied this question.
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