ArticleTherapeutic advances in infectious disease
Precision geospatial targeting for cost-effective tuberculosis case finding in Eastern Uganda: a quasi-experimental study.
Article in Therapeutic advances in infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Comment on: Precision geospatial targeting for cost-effective tuberculosis case finding in Eastern Uganda: A quasi-experimental study.Therapeutic advances in infectious diseaseArticle
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7 authors.
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Abstract
Background: Universal community-based tuberculosis (TB) screening in high-burden settings is resource-intensive and inefficient, frequently missing cases and leading to suboptimal resource allocation. Integrating routine surveillance data with geospatial analytics offers a promising approach to enhance the efficiency and cost-effectiveness of active case finding. Objective: To evaluate whether integrating Uganda's electronic Case-Based Surveillance System (eCBSS) data with geospatial hotspot analytics improves the efficiency, yield and cost-effectiveness of integrated TB case finding (CAST+) in Eastern Uganda. Design: We conducted a quasi-experimental before-and-after study comparing a universal community screening campaign (September 2022) with a geospatially targeted campaign (March 2024) in Eastern Uganda. Methods: We analysed routine eCBSS data from 166 diagnostic and treatment units using a sequential two-stage geospatial approach in Quantum Geographic Information System (QGIS). Statistically significant hotspot parishes were identified using the Getis-Ord Gi* statistic ( Results: The targeted strategy screened 49,373 individuals across 313 villages, compared with 627,082 in 3252 villages under the universal campaign, representing a 92.1% reduction in screening volume. Despite this, TB yield increased by 10% (1.68%-1.85%; Conclusion: eCBSS-guided geospatial targeting improved efficiency, precision and cost-effectiveness of TB screening, supporting a shift from universal to targeted TB case finding, and provides programmatic evidence for high-value public health interventions in resource-limited settings.
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