Evidence map›Paper›PMID 40052657›Full record

ArticleThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2025

Mobility patterns, activity locations, and TB in Nairobi, Kenya.

K H Tram, J Ong'ang'o, R Kiplimo, T R Hawn, V Nduba, D J Horne, J M Ross

Abstract read
In one paragraph

Article in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2025. 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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0cells of the map it votes in
1citing papers in PubMed
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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

K H TramDivision of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA.
J Ong'ang'oCentre for Respiratory Diseases Research, Kenya Medical Research Institute, Nairobi, Kenya.
R KiplimoAmref Health Africa, Nairobi, Kenya.
T R HawnDivision of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA.
V NdubaCentre for Respiratory Diseases Research, Kenya Medical Research Institute, Nairobi, Kenya.
D J HorneDivision of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, WA, USA.
J M RossDivision of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA.

Funding

HOST DEFENSE TRAINING IN ALLERGY AND INFECTIOUS DISEASEST32AI007044 · NIAID · UNIVERSITY OF WASHINGTON · PI DAVID Neal FREDRICKS · 1985 to 2026
$14.6M
Seattle Tuberculosis Research Advancement CenterP30AI168034 · NIAID · UNIVERSITY OF WASHINGTON · PI Rhea N Coler, CHETAN SESHADRI · 2022 to 2026
$6.3M
Aerobiology, immunology, and Mycobacterium tuberculosis transmissionR01AI150815 · NIAID · UNIVERSITY OF WASHINGTON · PI HAWN, THOMAS R, HORNE, DAVID J. · 2020 to 2024
$3.5M
NIAID NIH HHS P30 AI168034NIAID NIH HHS R01 AI150815NIAID NIH HHS T32 AI007044
6 · The paper itself

Abstract

<sec><title>BACKGROUND</title>Annually, over 3 million people develop TB but are not diagnosed and treated. We aimed to characterize the mobility patterns and activity locations of people with TB in an urban, high-burden setting to inform future active case-finding (ACF) efforts.</sec><sec><title>METHODS</title>We conducted a population-based TB prevalence survey in Nairobi, Kenya, in 2022. Participants aged ≥15 years with TB symptoms or a suggestive chest X-ray submitted sputum for Xpert Ultra and culture. We collected data on individual activity locations and mobility and evaluated their association with the risk of pulmonary TB.</sec><sec><title>RESULTS</title>The prevalence survey enrolled 6,369 participants across nine clusters. There were significant differences in mobility patterns and activity locations between sexes and age groups. Mobility factors were not significantly associated with TB. In the adjusted analysis, age group 45-54 (OR 2.45), male sex (OR 2.95), and use of a social activity location (OR 1.96) were significantly associated with a higher risk of TB.</sec><sec><title>CONCLUSIONS</title>We did not find a significant association between mobility patterns and TB, but there was a positive association between reported 'social' activity locations and TB. Identification of 'social' activity locations, particularly bars, provides important insight into possible venues for spatially-targeted ACF activities.</sec>.

Indexed as

Tuberculosis, PulmonaryAdolescentAdultAgedAge FactorsFemaleHumansKenyaMaleMiddle AgedPrevalenceRisk FactorsSex FactorsSputumUrban PopulationYoung Adult

Identifiers

PMID40052657
PMCPMC12611499

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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.