ArticlePublic health action2023
Geographic distribution and predictors of diagnostic delays among possible TB patients in Uganda.
Article in Public health action, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- AI-Driven Tuberculosis Hotspot Mapping to Optimize Active Case-Finding: Implementing the Epi-Control Platform in Uganda.Tropical medicine and infectious disease · 2026Article
- Clustering and risk factor analysis of pulmonary tuberculosis in a district in Ethiopia: a population-based cohort study.BMJ open · 2025Article
- Article
- Rural-Urban Inequities in Tuberculosis-Related Practices in Equatorial Guinea.Journal of epidemiology and global health · 2023Article
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Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundUnderstanding the geographic distribution and factors associated with delayed TB diagnosis may help target interventions to reduce delays and improve patient outcomes.
methodsWe conducted a secondary analysis of adults undergoing TB evaluation within a public health demonstration project in Uganda. Using Global Moran's I (GMI) and Getis-Ord GI* statistics, we evaluated for residential clustering and hotspots associated with patient-related and health system-related delays. We performed multivariate logistic regression to identify individual predictors of both types of delays.
resultsOf 996 adults undergoing TB evaluation (median age: 37 years, IQR 28-49), 333 (33%) experienced patient delays, and 568 (57%) experienced health system delays. Participants were clustered (GMI 0.47-0.64,
conclusionsWe did not identify geographic hotspots for TB diagnostic delays. Instead, delays were associated with individual factors such as age, marital status and TB knowledge.
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