Evidence map›Paper›PMID 40999688›Full record

ArticleEpidemiology and infection2025

The potential yield of geographically targeted tuberculosis contact investigation in urban Uganda.

Katherine O Robsky, Annet Nalutaaya, Peter James Kitonsa, James Mukiibi, David Isooba, Olga Nakasolya, Emily A Kendall, Jonathan Zelner, Jennifer M Ross, Achilles Katamba and 1 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Katherine O RobskyCenter for Global Health Practice and Impact, https://ror.org/00hjz7x27Georgetown University, Washington, DC, USA.ORCID 0000-0001-7789-5779
Annet NalutaayaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Peter James KitonsaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
James MukiibiUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
David IsoobaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Olga NakasolyaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Emily A KendallUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Jonathan ZelnerSchool of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Jennifer M RossDivision of Allergy and Infectious Diseases, Department of Medicine, https://ror.org/00cvxb145University of Washington, Seattle, WA, USA.
Achilles KatambaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
David W DowdyUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.

Funding

Hotspot versus clinic-based active case finding for TB in Uganda: A pragmatic randomized trialR01HL138728 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI David Wesley Dowdy, Emily A Kendall · 2017 to 2026
$5.4M
Impact of Spatial Location and Movement Patterns on Tuberculosis Transmission in Urban UgandaF32HL158019 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ROBSKY, KATHERINE OLGA · 2021 to 2022
$118k
NHLBI NIH HHS F32 HL158019NHLBI NIH HHS F32HL158019, R01HL138728NHLBI NIH HHS R01 HL138728
6 · The paper itself

Abstract

We investigated the potential yield of conducting active case finding for tuberculosis (TB) within a defined geographic radius (50 or 100 m) around the households of individuals diagnosed with TB at health facilities. In a well-defined geographic area within Kampala, Uganda, residential locations were determined for 85 people diagnosed with TB at local health facilities over an 18-month period and for 60 individuals diagnosed with TB during a subsequent community-wide door-to-door screening campaign. Ten of the individuals diagnosed through community screening lived within 50 m of an individual previously diagnosed with TB in a local health facility (TB prevalence: 0.98%), and 15 lived at a distance of 50-100 m (prevalence: 0.87%). The prevalence ratio was 1.4 (95% confidence interval (CI): 0.7-2.9) for those <50 m and 1.2 (95% CI 0.6-2.2) for those 50-100 m, compared to >100 m. Using TB notifications to identify areas for geographically targeted case finding is at most moderately more efficient than screening the general population in the context of urban Uganda.

Indexed as

Contact TracingTuberculosisAdolescentAdultAgedChildChild, PreschoolFemaleHumansMaleMass ScreeningMiddle AgedPrevalenceUgandaUrban PopulationYoung Adultactive case findingcontact investigationepidemiologygeographic information systemsglobal healthtuberculosis

Identifiers

PMID40999688
PMCPMC12529417

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.