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Stopping outbreaks with real-time genomic epidemiology

One of the most successful public health applications of next-generation sequencing is whole-genome sequencing of pathogens to not only detect and characterize outbreaks, but also to inform outbreak management. Using genomics, infection control teams can now track, with extraordinarily high resoluti...

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Detalles Bibliográficos
Autores principales: Tang, Patrick, Gardy, Jennifer L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295302/
https://www.ncbi.nlm.nih.gov/pubmed/25593591
http://dx.doi.org/10.1186/s13073-014-0104-4
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author Tang, Patrick
Gardy, Jennifer L
author_facet Tang, Patrick
Gardy, Jennifer L
author_sort Tang, Patrick
collection PubMed
description One of the most successful public health applications of next-generation sequencing is whole-genome sequencing of pathogens to not only detect and characterize outbreaks, but also to inform outbreak management. Using genomics, infection control teams can now track, with extraordinarily high resolution, the transmission events within outbreaks, opening up possibilities for targeted interventions. These successes are positioning the emerging field of genomic epidemiology to replace traditional molecular epidemiology, and increasing our ability to limit the spread of multidrug-resistant organisms.
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spelling pubmed-42953022015-01-16 Stopping outbreaks with real-time genomic epidemiology Tang, Patrick Gardy, Jennifer L Genome Med Research Highlight One of the most successful public health applications of next-generation sequencing is whole-genome sequencing of pathogens to not only detect and characterize outbreaks, but also to inform outbreak management. Using genomics, infection control teams can now track, with extraordinarily high resolution, the transmission events within outbreaks, opening up possibilities for targeted interventions. These successes are positioning the emerging field of genomic epidemiology to replace traditional molecular epidemiology, and increasing our ability to limit the spread of multidrug-resistant organisms. BioMed Central 2014-11-20 /pmc/articles/PMC4295302/ /pubmed/25593591 http://dx.doi.org/10.1186/s13073-014-0104-4 Text en © Tang and Gardy; licensee BioMed Central Ltd. 2014 The licensee has exclusive rights to distribute this article, in any medium, for 12 months following its publication. After this time, the article is available under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Highlight
Tang, Patrick
Gardy, Jennifer L
Stopping outbreaks with real-time genomic epidemiology
title Stopping outbreaks with real-time genomic epidemiology
title_full Stopping outbreaks with real-time genomic epidemiology
title_fullStr Stopping outbreaks with real-time genomic epidemiology
title_full_unstemmed Stopping outbreaks with real-time genomic epidemiology
title_short Stopping outbreaks with real-time genomic epidemiology
title_sort stopping outbreaks with real-time genomic epidemiology
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295302/
https://www.ncbi.nlm.nih.gov/pubmed/25593591
http://dx.doi.org/10.1186/s13073-014-0104-4
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