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Geospatial analysis of reported activity locations to identify sites for tuberculosis screening.
Yuen, Courtney M; Brooks, Meredith B; Millones, Ana Karina; Acosta, Diana; Del Águila-Rojas, Erika; Campos, Hortencia; Farroñay, Sheyla; Morales, Giannina; Ramirez-Sandoval, Judith; Nichols, Tim C; Jimenez, Judith; Jenkins, Helen E; Lecca, Leonid.
Afiliação
  • Yuen CM; Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA. Courtney_Yuen@hms.harvard.edu.
  • Brooks MB; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA. Courtney_Yuen@hms.harvard.edu.
  • Millones AK; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
  • Acosta D; Socios En Salud Sucursal Peru, Lima, Peru.
  • Del Águila-Rojas E; Socios En Salud Sucursal Peru, Lima, Peru.
  • Campos H; Socios En Salud Sucursal Peru, Lima, Peru.
  • Farroñay S; Socios En Salud Sucursal Peru, Lima, Peru.
  • Morales G; Socios En Salud Sucursal Peru, Lima, Peru.
  • Ramirez-Sandoval J; Socios En Salud Sucursal Peru, Lima, Peru.
  • Nichols TC; Socios En Salud Sucursal Peru, Lima, Peru.
  • Jimenez J; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
  • Jenkins HE; Socios En Salud Sucursal Peru, Lima, Peru.
  • Lecca L; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Sci Rep ; 12(1): 14094, 2022 08 18.
Article em En | MEDLINE | ID: mdl-35982104
ABSTRACT
Mobile screening units can help close tuberculosis case detection gaps. Placing screening units where people at high risk for undiagnosed tuberculosis preferentially spend time could make screening more resource-effective. We conducted a case-control study in Lima, Peru to identify locations where people with tuberculosis were more likely to spend time than community controls. We surveyed participants about activity locations over the past 6 months. We used density-based clustering to assess how patient and control activity locations differed, and logistic regression to compare location-based exposures. We included 109 tuberculosis patients and 79 controls. In density-based clustering analysis, the two groups had similar patterns of living locations, but their work locations clustered in distinct areas. Both groups were similarly likely to use public transit, but patients predominantly used buses and were less likely to use rapid transit (adjusted odds ratio [aOR] 0.31, 95% confidence interval [CI] 0.10-0.96) or taxis (aOR 0.42, 95% CI 0.21-0.85). Patients were more likely to have spent time in prison (aOR 11.55, 95% CI 1.48-90.13). Placing mobile screening units at bus terminals serving locations where tuberculosis patients have worked and within and around prisons could help reach people with undiagnosed tuberculosis.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM