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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2018
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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. |
format | Online Article Text |
id | pubmed-5823344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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