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Volume 24, Number 3—March 2018
Research

Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014–15

Derek R. MacFaddenComments to Author , Allison McGeer, Taryn Athey, Stephen Perusini, Romy Olsha, Aimin Li, Alireza Eshaghi, Jonathan B. Gubbay1, and William P. Hanage1
Author affiliations: University of Toronto, Toronto, Ontario, Canada (D.R. MacFadden, A. McGeer, J.B. Gubbay); Mount Sinai Hospital, Sinai Health System, Toronto (A. McGeer); Public Health Ontario Laboratory, Toronto (T. Athey, S. Perusini, R. Olsha, A. Li, A. Eshaghi, J.B. Gubbay); Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA (W.P. Hanage)

Main Article

Figure 4

Receiver operating characteristic curves for majority genome (A) and hemagglutinin gene (B) testing for influenza A(H3N2) samples from patients in long-term care facilities, Toronto, Ontario, Canada, 2014–15. AUC values and 95% CIs are shown. The predicted binary outcome is within versus between (contemporaneous) outbreaks. AUC, area under the curve.

Figure 4. Receiver operating characteristic curves for majority genome (A) and hemagglutinin gene (B) testing for influenza A(H3N2) samples from patients in long-term care facilities, Toronto, Ontario, Canada, 2014–15. AUC values and 95% CIs are shown. The predicted binary outcome is within versus between (contemporaneous) outbreaks. AUC, area under the curve.

Main Article

1These authors were co–principal investigators for this article.

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Page updated: February 15, 2018
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