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Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand
Real-time genomic sequencing has played a major role in tracking the global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), contributing greatly to disease mitigation strategies. In August 2020, after having eliminated the virus, New Zealand experienced a second outbreak. Dur...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084492/ https://www.ncbi.nlm.nih.gov/pubmed/33900175 http://dx.doi.org/10.3201/eid2705.204579 |
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author | Geoghegan, Jemma L. Douglas, Jordan Ren, Xiaoyun Storey, Matthew Hadfield, James Silander, Olin K. Freed, Nikki E. Jelley, Lauren Jefferies, Sarah Sherwood, Jillian Paine, Shevaun Huang, Sue Sporle, Andrew Baker, Michael G. Murdoch, David R. Drummond, Alexei J. Welch, David Simpson, Colin R. French, Nigel Holmes, Edward C. de Ligt, Joep |
author_facet | Geoghegan, Jemma L. Douglas, Jordan Ren, Xiaoyun Storey, Matthew Hadfield, James Silander, Olin K. Freed, Nikki E. Jelley, Lauren Jefferies, Sarah Sherwood, Jillian Paine, Shevaun Huang, Sue Sporle, Andrew Baker, Michael G. Murdoch, David R. Drummond, Alexei J. Welch, David Simpson, Colin R. French, Nigel Holmes, Edward C. de Ligt, Joep |
author_sort | Geoghegan, Jemma L. |
collection | PubMed |
description | Real-time genomic sequencing has played a major role in tracking the global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), contributing greatly to disease mitigation strategies. In August 2020, after having eliminated the virus, New Zealand experienced a second outbreak. During that outbreak, New Zealand used genomic sequencing in a primary role, leading to a second elimination of the virus. We generated genomes from 78% of the laboratory-confirmed samples of SARS-CoV-2 from the second outbreak and compared them with the available global genomic data. Genomic sequencing rapidly identified that virus causing the second outbreak in New Zealand belonged to a single cluster, thus resulting from a single introduction. However, successful identification of the origin of this outbreak was impeded by substantial biases and gaps in global sequencing data. Access to a broader and more heterogenous sample of global genomic data would strengthen efforts to locate the source of any new outbreaks. |
format | Online Article Text |
id | pubmed-8084492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-80844922021-05-11 Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand Geoghegan, Jemma L. Douglas, Jordan Ren, Xiaoyun Storey, Matthew Hadfield, James Silander, Olin K. Freed, Nikki E. Jelley, Lauren Jefferies, Sarah Sherwood, Jillian Paine, Shevaun Huang, Sue Sporle, Andrew Baker, Michael G. Murdoch, David R. Drummond, Alexei J. Welch, David Simpson, Colin R. French, Nigel Holmes, Edward C. de Ligt, Joep Emerg Infect Dis Research Real-time genomic sequencing has played a major role in tracking the global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), contributing greatly to disease mitigation strategies. In August 2020, after having eliminated the virus, New Zealand experienced a second outbreak. During that outbreak, New Zealand used genomic sequencing in a primary role, leading to a second elimination of the virus. We generated genomes from 78% of the laboratory-confirmed samples of SARS-CoV-2 from the second outbreak and compared them with the available global genomic data. Genomic sequencing rapidly identified that virus causing the second outbreak in New Zealand belonged to a single cluster, thus resulting from a single introduction. However, successful identification of the origin of this outbreak was impeded by substantial biases and gaps in global sequencing data. Access to a broader and more heterogenous sample of global genomic data would strengthen efforts to locate the source of any new outbreaks. Centers for Disease Control and Prevention 2021-05 /pmc/articles/PMC8084492/ /pubmed/33900175 http://dx.doi.org/10.3201/eid2705.204579 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 Geoghegan, Jemma L. Douglas, Jordan Ren, Xiaoyun Storey, Matthew Hadfield, James Silander, Olin K. Freed, Nikki E. Jelley, Lauren Jefferies, Sarah Sherwood, Jillian Paine, Shevaun Huang, Sue Sporle, Andrew Baker, Michael G. Murdoch, David R. Drummond, Alexei J. Welch, David Simpson, Colin R. French, Nigel Holmes, Edward C. de Ligt, Joep Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand |
title | Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand |
title_full | Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand |
title_fullStr | Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand |
title_full_unstemmed | Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand |
title_short | Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand |
title_sort | use of genomics to track coronavirus disease outbreaks, new zealand |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084492/ https://www.ncbi.nlm.nih.gov/pubmed/33900175 http://dx.doi.org/10.3201/eid2705.204579 |
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