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March 18, 2026Open Access

Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Multilevel Regression Analysis to Measure Yield Improvement

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Original research evaluates yield improvement in public health surveillance systems, suggesting enhanced methodological approaches.

To rigorously evaluate public health surveillance systems in Uganda using multilevel regression analysis to measure yield improvement.
Mixed-methods design combining survey and interview data.
Multilevel regression analysis to establish bounded error under perturbation.
Formulated a rigorous model with verifiable assumptions.
Established a stable link between proposed metrics and observed outcomes.
Provided a reproducible analytical basis for future research.
Estimated treatment effect using a logit model with reported uncertainty in confidence intervals.

Jacqueline Parker (2014) studied this question.

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