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A Case-Control Study to Identify Community Venues Associated with Genetically-clustered, Multidrug-resistant Tuberculosis Disease in Lima, Peru.
Bui, David P; Oren, Eyal; Roe, Denise J; Brown, Heidi E; Harris, Robin B; Knight, Gwenan M; Gilman, Robert H; Grandjean, Louis.
Afiliación
  • Bui DP; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson.
  • Oren E; School of Public Health, San Diego State University, California.
  • Roe DJ; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson.
  • Brown HE; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson.
  • Harris RB; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, Tucson.
  • Knight GM; London School of Hygiene and Tropical Medicine, United Kingdom.
  • Gilman RH; Universidad Peruana Cayetano Heredia, Lima, Peru.
  • Grandjean L; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Clin Infect Dis ; 68(9): 1547-1555, 2019 04 24.
Article en En | MEDLINE | ID: mdl-30239609
ABSTRACT

BACKGROUND:

The majority of tuberculosis transmission occurs in community settings. Our primary aim in this study was to assess the association between exposure to community venues and multidrug-resistant (MDR) tuberculosis. Our secondary aim was to describe the social networks of MDR tuberculosis cases and controls.

METHODS:

We recruited laboratory-confirmed MDR tuberculosis cases and community controls that were matched on age and sex. Whole-genome sequencing was used to identify genetically clustered cases. Venue tracing interviews (nonblinded) were conducted to enumerate community venues frequented by participants. Logistic regression was used to assess the association between MDR tuberculosis and person-time spent in community venues. A location-based social network was constructed, with respondents connected if they reported frequenting the same venue, and an exponential random graph model (ERGM) was fitted to model the network.

RESULTS:

We enrolled 59 cases and 65 controls. Participants reported 729 unique venues. The mean number of venues reported was similar in both groups (P = .92). Person-time in healthcare venues (adjusted odds ratio [aOR] = 1.67, P = .01), schools (aOR = 1.53, P < .01), and transportation venues (aOR = 1.25, P = .03) was associated with MDR tuberculosis. Healthcare venues, markets, cinemas, and transportation venues were commonly shared among clustered cases. The ERGM indicated significant community segregation between cases and controls. Case networks were more densely connected.

CONCLUSIONS:

Exposure to healthcare venues, schools, and transportation venues was associated with MDR tuberculosis. Intervention across the segregated network of case venues may be necessary to effectively stem transmission.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trazado de Contacto / Tuberculosis Resistente a Múltiples Medicamentos / Farmacorresistencia Bacteriana Múltiple / Red Social / Mycobacterium tuberculosis Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: America do sul / Peru Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trazado de Contacto / Tuberculosis Resistente a Múltiples Medicamentos / Farmacorresistencia Bacteriana Múltiple / Red Social / Mycobacterium tuberculosis Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged País/Región como asunto: America do sul / Peru Idioma: En Año: 2019 Tipo del documento: Article