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


Journal

PLoS medicine
ISSN: 1549-1676
Titre abrégé: PLoS Med
Pays: United States
ID NLM: 101231360

Informations de publication

Date de publication:
01 2019
Historique:
received: 03 07 2018
accepted: 24 12 2018
entrez: 25 1 2019
pubmed: 25 1 2019
medline: 14 5 2019
Statut: epublish

Résumé

It 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. We 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. Our 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.

Sections du résumé

BACKGROUND
It 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 FINDINGS
We 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.
CONCLUSIONS
Our 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.

Identifiants

pubmed: 30677013
doi: 10.1371/journal.pmed.1002737
pii: PMEDICINE-D-18-02386
pmc: PMC6345418
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1002737

Subventions

Organisme : NIMHD NIH HHS
ID : DP2 MD010478
Pays : United States
Organisme : FIC NIH HHS
ID : D43 TW010540
Pays : United States
Organisme : NIAID NIH HHS
ID : N01AI30058
Pays : United States
Organisme : NIMHD NIH HHS
ID : U54 MD010724
Pays : United States
Organisme : FIC NIH HHS
ID : R25 TW009338
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI130058
Pays : United States

Commentaires et corrections

Type : ErratumIn

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors of this manuscript have the following competing interests: SB receives a stipend as a specialty consulting editor for PLOS Medicine and serves on the journal’s editorial board.

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Auteurs

Tarub S Mabud (TS)

Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.

Maria de Lourdes Delgado Alves (M)

Agência Estadual de Administração do Sistema Penitenciário, Campo Grande, Brazil.

Albert I Ko (AI)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.

Sanjay Basu (S)

Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.

Katharine S Walter (KS)

Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.

Ted Cohen (T)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.

Barun Mathema (B)

Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, United States of America.

Caroline Colijn (C)

Department of Mathematics, Imperial College London, London, United Kingdom.
Department of Mathematics, Simon Fraser University, Burnaby, Canada.

Everton Lemos (E)

School of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.

Julio Croda (J)

School of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
Oswaldo Cruz Foundation, Campo Grande, Brazil.

Jason R Andrews (JR)

Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.

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Classifications MeSH