Identifying hotspots of multidrug-resistant tuberculosis transmission using spatial and molecular genetic data

  • Jonathan L. Zelner
  • , Megan B. Murray
  • , Mercedes C. Becerra
  • , Jerome Galea
  • , Leonid Lecca
  • , Roger Calderon
  • , Rosa Yataco
  • , Carmen Contreras
  • , Zibiao Zhang
  • , Justin Manjourides
  • , Bryan T. Grenfell
  • , Ted Cohen

Research output: Contribution to journalArticlepeer-review

Abstract

Background. We aimed to identify and determine the etiology of "hotspots" of concentrated multidrug-resistant tuberculosis (MDR-tuberculosis) risk in Lima, Peru. Methods. From 2009 to 2012, we conducted a prospective cohort study among households of tuberculosis cases from 106 health center (HC) areas in Lima, Peru. All notified tuberculosis cases and their household contacts were followed for 1 year. Symptomatic individuals were screened by microscopy and culture; positive cultures were tested for drug susceptibility (DST) and genotyped by 24-loci mycobacterial interspersed repetitive units-variable-number tandem repeats (MIRU-VNTR). Results. 3286 individuals with culture-confirmed disease, DST, and 24-loci MIRU-VNTR were included in our analysis. Our analysis reveals: (1) heterogeneity in annual per-capita incidence of tuberculosis and MDR-tuberculosis by HC, with a rate of MDR-tuberculosis 89 times greater (95% confidence interval [CI], 54,185) in the most-affected versus the least-affected HC; (2) high risk for MDR-tuberculosis in a region spanning several HCs (odds ratio = 3.19, 95% CI, 2.33, 4.36); and (3) spatial aggregation of MDR-tuberculosis genotypes, suggesting localized transmission. Conclusions. These findings reveal that localized transmission is an important driver of the epidemic of MDR-tuberculosis in Lima. Efforts to interrupt transmission may be most effective if targeted to this area of the city.

Original languageEnglish (US)
Pages (from-to)287-294
Number of pages8
JournalJournal of Infectious Diseases
Volume213
Issue number2
DOIs
StatePublished - Jan 15 2016

All Science Journal Classification (ASJC) codes

  • General Medicine

Keywords

  • MDR-tuberculosis
  • drug resistance
  • spatial analysis
  • tuberculosis

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