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March 21, 2026Open Access

Methodological Evaluation of Public Health Surveillance Systems in Uganda: Multilevel Regression Analysis for Measuring System Reliability

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Evaluates system reliability in Uganda's public health surveillance systems, suggesting improved data transparency methods.

The study aims to evaluate the reliability of public health surveillance systems in Uganda using a structured methodological approach.
Conducted a systematic review of relevant literature
Applied multilevel regression analysis to assess system reliability
Developed a model with verifiable assumptions
Estimated treatment effects using logit modeling
Analyzed uncertainty with confidence intervals
Established a bounded error estimate under perturbation
Demonstrated a convergent estimation process under set assumptions
Identified a stable relationship between the proposed metric and observed outcomes
Provided a reproducible analytical framework for future research
Recommended strategies prioritizing inclusive and transparent data approaches

Onyango et al. (2015) studied this question.

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