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

Adequacy of the current clinical definition of institutional influenza outbreaks is unclear. We performed a retrospective genome sequencing and epidemiologic analysis of institutional influenza outbreaks that occurred during the 2014–15 influenza season in Toronto, Canada. We sequenced the 2 earlies...

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Autores principales: MacFadden, Derek R., McGeer, Allison, Athey, Taryn, Perusini, Stephen, Olsha, Romy, Li, Aimin, Eshaghi, AliReza, Gubbay, Jonathan B., Hanage, William P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823344/
https://www.ncbi.nlm.nih.gov/pubmed/29460729
http://dx.doi.org/10.3201/eid2403.171499
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author MacFadden, Derek R.
McGeer, Allison
Athey, Taryn
Perusini, Stephen
Olsha, Romy
Li, Aimin
Eshaghi, AliReza
Gubbay, Jonathan B.
Hanage, William P.
author_facet MacFadden, Derek R.
McGeer, Allison
Athey, Taryn
Perusini, Stephen
Olsha, Romy
Li, Aimin
Eshaghi, AliReza
Gubbay, Jonathan B.
Hanage, William P.
author_sort MacFadden, Derek R.
collection PubMed
description Adequacy of the current clinical definition of institutional influenza outbreaks is unclear. We performed a retrospective genome sequencing and epidemiologic analysis of institutional influenza outbreaks that occurred during the 2014–15 influenza season in Toronto, Canada. We sequenced the 2 earliest submitted samples positive for influenza A(H3N2) from each of 38 reported institutional outbreaks in long-term care facilities. Genome sequencing showed most outbreak pairs identified by using the current clinical definition were highly related. Inclusion of surveillance samples demonstrated that outbreak sources were likely introductions from broader circulating lineages. Pairwise distance analysis using majority genome and hemagglutinin-specific genes enabled identification of thresholds for discrimination of within and between outbreak pairs; the area under the curve ranged 0.93–0.95. Routine genome sequencing for defining influenza outbreaks in long-term care facilities is unlikely to add significantly to the current clinical definition. Sequencing may prove most useful for investigating sources of outbreak introductions.
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spelling pubmed-58233442018-03-01 Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014–15 MacFadden, Derek R. McGeer, Allison Athey, Taryn Perusini, Stephen Olsha, Romy Li, Aimin Eshaghi, AliReza Gubbay, Jonathan B. Hanage, William P. Emerg Infect Dis Research Adequacy of the current clinical definition of institutional influenza outbreaks is unclear. We performed a retrospective genome sequencing and epidemiologic analysis of institutional influenza outbreaks that occurred during the 2014–15 influenza season in Toronto, Canada. We sequenced the 2 earliest submitted samples positive for influenza A(H3N2) from each of 38 reported institutional outbreaks in long-term care facilities. Genome sequencing showed most outbreak pairs identified by using the current clinical definition were highly related. Inclusion of surveillance samples demonstrated that outbreak sources were likely introductions from broader circulating lineages. Pairwise distance analysis using majority genome and hemagglutinin-specific genes enabled identification of thresholds for discrimination of within and between outbreak pairs; the area under the curve ranged 0.93–0.95. Routine genome sequencing for defining influenza outbreaks in long-term care facilities is unlikely to add significantly to the current clinical definition. Sequencing may prove most useful for investigating sources of outbreak introductions. Centers for Disease Control and Prevention 2018-03 /pmc/articles/PMC5823344/ /pubmed/29460729 http://dx.doi.org/10.3201/eid2403.171499 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
MacFadden, Derek R.
McGeer, Allison
Athey, Taryn
Perusini, Stephen
Olsha, Romy
Li, Aimin
Eshaghi, AliReza
Gubbay, Jonathan B.
Hanage, William P.
Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014–15
title Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014–15
title_full Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014–15
title_fullStr Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014–15
title_full_unstemmed Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014–15
title_short Use of Genome Sequencing to Define Institutional Influenza Outbreaks, Toronto, Ontario, Canada, 2014–15
title_sort use of genome sequencing to define institutional influenza outbreaks, toronto, ontario, canada, 2014–15
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823344/
https://www.ncbi.nlm.nih.gov/pubmed/29460729
http://dx.doi.org/10.3201/eid2403.171499
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