TB Research

Geospatial analysis of reported activity locations to identify sites for tuberculosis screening

Courtney M. Yuen, Meredith B. Brooks, Ana Karina Millones, Diana Acosta, Erika Del Águila-Rojas, Hortencia Campos, Sheyla Farroñay, Giannina Morales, et al. (13 authors)

Scientific Reports · 2022-08

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.

MeSH terms

  • Tuberculosis
  • Medicine
  • Odds ratio
  • Confidence interval
  • Logistic regression
  • Geospatial analysis
  • Environmental health
  • Odds
  • Public health
  • Mycobacterium tuberculosis
  • Tuberculosis control
  • Demography
  • Geography