Evidence map›Paper›PMID 41219335›Full record

ArticleScientific reports2025

Geospatial analysis of shared risks for tuberculosis transmission in an urban cohort.

Michael Asare-Baah, Tan M Luong, Ernest Kwarteng, Charles Domotey, Nellie Arthur, Magalie Zoungrana, Sheila Mireku-Apah, Honesty Ganu, Michael Amo Omari, Adelaide Sackey and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 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
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0citing 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

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

13 authors.

Michael Asare-BaahDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, USA.
Tan M LuongSpatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, FL, USA.
Ernest KwartengDepartment of Chest Diseases, Korle-Bu Teaching Hospital, Accra, Ghana.
Charles DomoteyDepartment of Chest Diseases, Korle-Bu Teaching Hospital, Accra, Ghana.
Nellie ArthurDepartment of Chest Diseases, Korle-Bu Teaching Hospital, Accra, Ghana.
Magalie ZoungranaEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Sheila Mireku-ApahChest Clinic Laboratory, Korle-Bu Teaching Hospital, Accra, Ghana.
Honesty GanuChest Clinic Laboratory, Korle-Bu Teaching Hospital, Accra, Ghana.
Michael Amo OmariChest Clinic Laboratory, Korle-Bu Teaching Hospital, Accra, Ghana.
Adelaide SackeyNational Tuberculosis Control Programme, Ghana Health Service, Accra, Ghana.
Awewura KwaraDepartment of Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Jane Sandra Afriyie-MensahDepartment of Chest Diseases, Korle-Bu Teaching Hospital, Accra, Ghana. jafriyiemensah@yahoo.com.
Marie Nancy SéraphinEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA. nseraphin@ufl.edu.

Funding

Linking within- and between-host dynamics in tracking recent Mycobacterium tuberculosis transmissionK01AI153544 · NIAID · UNIVERSITY OF FLORIDA · PI SERAPHIN, MARIE NANCY · 2021 to 2025
$652k
National Institute of Allergy and Infectious Diseases K01AI153544NIAID NIH HHS K01 AI153544
6 · The paper itself

Abstract

Effective TB control in rapidly changing sociodemographic settings with high TB prevalence requires understanding the evolving social and behavioral determinants of disease risk. This study examined the spatial distribution of TB cases and assessed whether shared clinical and social characteristics were associated with closer residential proximity in the Greater Accra Region, Ghana. Between June 2022 and July 2023, individuals with new and previously treated TB were enrolled at a referral hospital in the Accra Metropolitan Area. Participants completed structured questionnaires on demographic, clinical, and behavioral risk factors, and residential coordinates were collected during home-based contact tracing. Spatial clustering was evaluated using local Moran's I statistics. A Bayesian cross-random effects gamma regression model examined the association between shared characteristics and residential proximity, with distances shifted, centered, and rescaled for interpretation. The study population (N = 150) was predominantly male (68.0%) and of working age (80.0% aged 25-64 years), with 51.3% engaged in unskilled labor. Spatial analysis identified localized clusters of TB cases in high-density residential areas. Sharing the same religious affiliation, reporting recent exposure to household or non-household individuals with cough, and hemoptysis were modestly associated with closer residential proximity, although the effect sizes were small and credible intervals were close to the null. Treatment history demonstrated strong spatial patterns, with previously treated cases clustering more tightly than newly diagnosed cases. TB cases exhibited spatial clustering linked to shared clinical and social risk factors. Although residential proximity does not directly indicate transmission sites, tighter clustering among previously treated cases may reflect both sustained exposure to high-transmission environments and barriers to completing effective treatment. Other shared characteristics, including religious affiliation, non-household exposure to individuals with cough, and hemoptysis, were modestly associated with closer proximity, but their clinical and public health significance remains uncertain. Targeted interventions in identified hotspots, alongside strategies to improve treatment completion and long-term outcomes, may support TB control efforts in this urban high TB/HIV burden setting.

Indexed as

TuberculosisAdolescentAdultBayes TheoremCohort StudiesContact TracingFemaleGhanaHumansMaleMiddle AgedRisk FactorsSpatial AnalysisUrban PopulationYoung AdultBayesian regressionGhanaSpatial analysisTuberculosisUrban health

Identifiers

PMID41219335
PMCPMC12606333

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LicenceCC BY-NC-ND
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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.