Evidence map›Paper›PMID 31639145›Full record

ArticlePloS one2019

Partitioning the risk of tuberculosis transmission in household contact studies.

Avery I McIntosh, Helen E Jenkins, C Robert Horsburgh, Edward C Jones-López, Christopher C Whalen, Mary Gaeddert, Patricia Marques-Rodrigues, Jerrold J Ellner, Reynaldo Dietze, Laura F White

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. The Role of Youths in Within-Household Tuberculosis Transmission: A Household Contact Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The impact of COVID-19 on TB: a review of the data.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
    Review
  9. Observational
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

10 authors at 2 institutions in 1 country.

Avery I McIntoshDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Helen E JenkinsDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.
C Robert HorsburghDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.
Edward C Jones-LópezSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, United States of America.
Christopher C WhalenDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia, United States of America.
Mary GaeddertSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, United States of America.
Patricia Marques-RodriguesNúcleo de Doenças Infecciosas, Vitória, Brazil.
Jerrold J EllnerSection of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, Massachusetts, United States of America.
Reynaldo DietzeNúcleo de Doenças Infecciosas, Vitória, Brazil.
Laura F WhiteDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-0588-8235
Boston University · USUniversity of Georgia · US

Funding

US-Brazil Research Collaboration on Strain Variation in TBU01AI065663 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ELLNER, JERROLD J. · 2005 to 2015
$5.2M
Interdisciplinary Training for BiostatisticiansT32GM074905 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2005 to 2019
$3.0M
Supplement to Methods to Estimate the Effect of Interventions on the Incidence and Transmission of TuberculosisR01GM122876 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WHITE, LAURA FORSBERG · 2017 to 2021
$1.9M
Understanding spatial heterogeneity of drug resistant tuberculosisK01AI102944 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI JENKINS, HELEN E. · 2013 to 2017
$627k
NIAID NIH HHS K01 AI102944NIAID NIH HHS U01 AI065663NIGMS NIH HHS R01 GM122876NIGMS NIH HHS T32 GM074905
6 · The paper itself

Abstract

Household contact studies of tuberculosis (TB) are a common way to study disease transmission dynamics. However these studies lack a mechanism for accounting for community transmission, which is known to be significant, particularly in high burden settings. We illustrate a statistical approach for estimating both the correlates with transmission of TB in a household setting and the probability of community transmission using a modified Bayesian mixed-effects model. This is applied to two household contact studies in Vitória, Brazil from 2008-2013 and Kampala, Uganda from 1995-2004 that enrolled households with an individual that was recently diagnosed with pulmonary TB. We estimate the probability of community transmission to be higher in Uganda (ranging from 0.21 to 0.69, depending on HHC age and HIV status of the index case) than in Brazil (ranging from 0.13 for young children to 0.50 in adults). These estimates are consistent with a higher overall burden of disease in Uganda compared to Brazil. Our method also estimates an increasing risk of community-acquired TB with age of the household contact, consistent with existing literature. This approach is a useful way to integrate the role of the community in understanding TB disease transmission dynamics in household contact studies.

Indexed as

Bayes TheoremFamily CharacteristicsModels, StatisticalAdolescentBrazilChildChild, PreschoolContact TracingFemaleHumansIncidenceInfantInfant, NewbornMaleMycobacterium tuberculosisRisk Factors

Identifiers

PMID31639145
PMCPMC6804987
OpenAlexW2981689439

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.