Evidence map›Paper›PMID 33989343›Full record

ArticlePloS one2021

Characterization of geographic mobility among participants in facility- and community-based tuberculosis case finding in urban Uganda.

Katherine O Robsky, David Isooba, Olga Nakasolya, James Mukiibi, Annet Nalutaaya, Peter J Kitonsa, Caleb Kamoga, Yeonsoo Baik, Emily A Kendall, Achilles Katamba and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Mobility patterns, activity locations, and TB in Nairobi, Kenya.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    Article
  5. Article
  6. Higher yield using an event-based vs. door-to-door approach for active case-finding for TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
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  9. Review
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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 at 2 institutions in 2 countries.

Katherine O RobskyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0001-7789-5779
David IsoobaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
Olga NakasolyaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
James MukiibiUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
Annet NalutaayaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
Peter J KitonsaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
Caleb KamogaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
Yeonsoo BaikDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Emily A KendallUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
Achilles KatambaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Makerere University · UGJohns Hopkins University · US

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
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
Translational modeling of individual- and population-level outcomes of novel tuberculosis drug regimensK08AI127908 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KENDALL, EMILY A · 2017 to 2021
$879k
FIC NIH HHS D43 TW010540NHLBI NIH HHS R01 HL138728NIAID NIH HHS K08 AI127908
6 · The paper itself

Abstract

backgroundInternational and internal migration are recognized risk factors for tuberculosis (TB). Geographic mobility, including travel for work, education, or personal reasons, may also play a role in TB transmission, but this relationship is poorly defined. We aimed to define geographic mobility among participants in facility- and community-based TB case finding in Kampala, Uganda, and to assess associations between mobility, access to care, and TB disease.

methodsWe included consecutive individuals age ≥15 years diagnosed with TB disease through either routine health facility practices or community-based case finding (consisting of door-to-door testing, venue-based screening, and contact investigation). Each case was matched with one (for community-based enrollment) or two (health facility enrollment) TB-negative controls. We conducted a latent class analysis (LCA) of eight self-reported characteristics to identify and define mobility; we selected the best-fit model using Bayesian Information Criterion. We assessed associations between mobility and TB case status using multivariable conditional logistic regression.

resultsWe enrolled 267 cases and 432 controls. Cases were more likely than controls to have been born in Kampala (p<0.001); there was no difference between cases and controls for remaining mobility characteristics. We selected a two-class LCA model; the "mobile" class was perfectly correlated with a single variable: travel (>3 km) from residence ≥2 times per month. Mobility was associated with a 28% reduction in odds of being a TB case (adjusted matched odds ratio 0.72 [95% confidence interval 0.49, 1.06]).

conclusionFrequency of out-of-neighborhood travel is an easily measured variable that correlates closely with predicted mobility class membership. Mobility was associated with decreased risk of TB disease; this may be in part due to the higher socioeconomic status of mobile individuals in this population. However, more research is needed to improve assessment of mobility and understand how mobility affects disease risk and transmission.

Indexed as

Contact TracingPopulation DynamicsResidence CharacteristicsUrban PopulationAdolescentAdultFemaleHumansMaleMiddle AgedTuberculosisUganda

Identifiers

PMID33989343
PMCPMC8121348
OpenAlexW3162911511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.