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

<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>.

Authors

Institutions

Publication Details

Journal
The International Journal of Tuberculosis and Lung Disease
Published
2025-03-01
DOI
https://doi.org/10.5588/ijtld.24.0372
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Videlis Nduba, David J. de L. Horne, Jane Rahedi Ong’ang’o, Khai Hoan Tram et al.
The International Journal of Tuberculosis and Lung Disease
Urban Transport and Accessibility
article

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

Videlis Nduba, David J. de L. Horne, Jane Rahedi Ong’ang’o, Khai Hoan Tram, J.M. Ross, Richard Kiplimo, Thomas R. Hawn
article en

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>.

The International Journal of Tuberculosis and Lung DiseaseVol. 29(3)
University of Washington (US), Kenya Medical Research Institute (KE), Amref Health Africa (KE)
Openalex Percentile: Top 96%
Urban Transport and Accessibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mobility patterns, activity locations, and TB in Nairobi, Kenya — Videlis Nduba, David J. de L. Horne, et al. · The International Journal of Tuberculosis and Lung Disease (2025) | TGRS Research Map | TGRS