Emerging Infectious Diseases (Mar 2018)

Statistical Method to Detect Tuberculosis Outbreaks among Endemic Clusters in a Low-Incidence Setting

  • Sandy P. Althomsons,
  • Andrew N. Hill,
  • Alexia V. Harrist,
  • Anne Marie France,
  • Krista M. Powell,
  • James E. Posey,
  • Lauren S. Cowan,
  • Thomas R. Navin

DOI
https://doi.org/10.3201/eid2403.171613
Journal volume & issue
Vol. 24, no. 3
pp. 573 – 575

Abstract

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We previously reported use of genotype surveillance data to predict outbreaks among incident tuberculosis clusters. We propose a method to detect possible outbreaks among endemic tuberculosis clusters. We detected 15 possible outbreaks, of which 10 had epidemiologic data or whole-genome sequencing results. Eight outbreaks were corroborated.

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