Evidence map›Paper›PMID 30677013›Full record

Observational studyPLoS medicine2019

Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from Brazil.

Tarub S Mabud, Maria de Lourdes Delgado Alves, Albert I Ko, Sanjay Basu, Katharine S Walter, Ted Cohen, Barun Mathema, Caroline Colijn, Everton Lemos, Julio Croda and 1 more

Erratum issuedOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 56 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 7 pooled it
15.2field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 7 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Record linkage in tuberculosis epidemiological surveillance in Brazil: systematic methodological literature review.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
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  14. Lancet regional health. Americas · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 4 countries.

Tarub S MabudDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-0192-2395
Maria de Lourdes Delgado AlvesAgência Estadual de Administração do Sistema Penitenciário, Campo Grande, Brazil.
Albert I KoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0001-9023-2339
Sanjay BasuDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-0599-6332
Katharine S WalterDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-8091-7198
Barun MathemaDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, United States of America.
Caroline ColijnDepartment of Mathematics, Imperial College London, London, United Kingdom.ORCID 0000-0001-6097-6708
Everton LemosSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
Julio CrodaSchool of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.ORCID 0000-0002-6665-6825
Jason R AndrewsDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-5967-251X
Stanford University · USUniversidade Federal de Mato Grosso do Sul · BRYale University · USColumbia University · USSimon Fraser University · CA

Funding

Trial of strategies to communicate genetic information to different ethnic and racial subpopulationsU54MD010724 · NIMHD · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD · 2016 to 2021
$16.3M
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
Strategies for tuberculosis control in prisonsR01AI130058 · NIAID · STANFORD UNIVERSITY · PI Jason Randolph Andrews, Julio Henrique Rosa Croda · 2017 to 2026
$5.8M
Global Health Fellows and Scholars Research TrainingR25TW009338 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARRY, MICHELE, KO, ALBERT ICKSANG · 2012 to 2016
$5.2M
Cohort filtering models to identify social program effects on health disparitiesDP2MD010478 · NIMHD · STANFORD UNIVERSITY · PI BASU, SANJAY · 2015 to 2015
$2.4M
FIC NIH HHS D43 TW010540FIC NIH HHS R25 TW009338NIAID NIH HHS N01 AI030058NIAID NIH HHS R01 AI130058NIMHD NIH HHS DP2 MD010478NIMHD NIH HHS U54 MD010724
6 · The paper itself

Abstract

backgroundIt has been hypothesized that prisons serve as amplifiers of general tuberculosis (TB) epidemics, but there is a paucity of data on this phenomenon and the potential population-level effects of prison-focused interventions. This study (1) quantifies the TB risk for prisoners as they traverse incarceration and release, (2) mathematically models the impact of prison-based interventions on TB burden in the general population, and (3) generalizes this model to a wide range of epidemiological contexts. METHODS AND

findingsWe obtained individual-level incarceration data for all inmates (n = 42,925) and all reported TB cases (n = 5,643) in the Brazilian state of Mato Grosso do Sul from 2007 through 2013. We matched individuals between prisoner and TB databases and estimated the incidence of TB from the time of incarceration and the time of prison release using Cox proportional hazards models. We identified 130 new TB cases diagnosed during incarceration and 170 among individuals released from prison. During imprisonment, TB rates increased from 111 cases per 100,000 person-years at entry to a maximum of 1,303 per 100,000 person-years at 5.2 years. At release, TB incidence was 229 per 100,000 person-years, which declined to 42 per 100,000 person-years (the average TB incidence in Brazil) after 7 years. We used these data to populate a compartmental model of TB transmission and incarceration to evaluate the effects of various prison-based interventions on the incidence of TB among prisoners and the general population. Annual mass TB screening within Brazilian prisons would reduce TB incidence in prisons by 47.4% (95% Bayesian credible interval [BCI], 44.4%-52.5%) and in the general population by 19.4% (95% BCI 17.9%-24.2%). A generalized model demonstrates that prison-based interventions would have maximum effectiveness in reducing community incidence in populations with a high concentration of TB in prisons and greater degrees of mixing between ex-prisoners and community members. Study limitations include our focus on a single Brazilian state and our retrospective use of administrative databases.

conclusionsOur findings suggest that the prison environment, more so than the prison population itself, drives TB incidence, and targeted interventions within prisons could have a substantial effect on the broader TB epidemic.

Indexed as

PrisonsBrazilCommunity-Acquired InfectionsFemaleHumansIncidenceLatent TuberculosisMaleModels, StatisticalProportional Hazards ModelsResidence CharacteristicsTime FactorsTuberculosis, Pulmonary

Identifiers

PMID30677013
PMCPMC6345418
OpenAlexW2914002714

What OpenQuestion holds

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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.