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Volume 24, Number 3—March 2018
Dispatch

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

Sandy P. AlthomsonsComments to Author , Andrew N. Hill, Alexia V. Harrist, Anne Marie France, Krista M. Powell, James E. Posey, Lauren S. Cowan, and Thomas R. Navin
Author affiliations: Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Main Article

Figure 2

Whole-genome sequencing results for a prevalent (endemic) cluster detected as a possible tuberculosis outbreak, United States, 2009–2016. Values indicate number of SNPs. Shown is a closely related (<2 SNPs) group of 11 isolates (lower section of phylogenetic tree). Isolates reported during a 3-year window of unexpected growth are indicated in gray. One isolate reported 1 quarter before and 1 isolate reported 1 quarter after the 3-year window of unexpected growth detection are indicated in whi

Figure 2. Whole-genome sequencing results for a prevalent (endemic) cluster detected as a possible tuberculosis outbreak, United States, 2009–2016. Values indicate number of SNPs. Shown is a closely related (<2 SNPs) group of 11 isolates (lower section of phylogenetic tree). Isolates reported during a 3-year window of unexpected growth are indicated in gray. One isolate reported 1 quarter before and 1 isolate reported 1 quarter after the 3-year window of unexpected growth detection are indicated in white. An additional 2 isolates were 3 SNPs from this closely related group, 1 during (gray) and 1 outside (white) the unexpected growth window. MRCA, most recent common ancestor; SNP, single-nucleotide polymorphism.

Main Article

Page created: February 16, 2018
Page updated: February 16, 2018
Page reviewed: February 16, 2018
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