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...
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Format: | Article |
Language: | English |
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Centers for Disease Control and Prevention
2021-05-01
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Series: | Emerging Infectious Diseases |
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Online Access: | https://wwwnc.cdc.gov/eid/article/27/5/20-4579_article |
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author | Jemma L. Geoghegan Jordan Douglas Xiaoyun Ren Matthew Storey James Hadfield Olin K. Silander Nikki E. Freed Lauren Jelley Sarah Jefferies Jillian Sherwood Shevaun Paine Sue Huang Andrew Sporle Michael G. Baker David R. Murdoch Alexei J. Drummond David Welch Colin R. Simpson Nigel French Edward C. Holmes Joep de Ligt |
author_facet | Jemma L. Geoghegan Jordan Douglas Xiaoyun Ren Matthew Storey James Hadfield Olin K. Silander Nikki E. Freed Lauren Jelley Sarah Jefferies Jillian Sherwood Shevaun Paine Sue Huang Andrew Sporle Michael G. Baker David R. Murdoch Alexei J. Drummond David Welch Colin R. Simpson Nigel French Edward C. Holmes Joep de Ligt |
author_sort | Jemma L. Geoghegan |
collection | DOAJ |
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. |
first_indexed | 2024-12-24T00:34:16Z |
format | Article |
id | doaj.art-ea053f5ccdf74b35807d354ed2102eba |
institution | Directory Open Access Journal |
issn | 1080-6040 1080-6059 |
language | English |
last_indexed | 2024-12-24T00:34:16Z |
publishDate | 2021-05-01 |
publisher | Centers for Disease Control and Prevention |
record_format | Article |
series | Emerging Infectious Diseases |
spelling | doaj.art-ea053f5ccdf74b35807d354ed2102eba2022-12-21T17:24:09ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592021-05-012751317132210.3201/eid2705.204579Use of Genomics to Track Coronavirus Disease Outbreaks, New ZealandJemma L. GeogheganJordan DouglasXiaoyun RenMatthew StoreyJames HadfieldOlin K. SilanderNikki E. FreedLauren JelleySarah JefferiesJillian SherwoodShevaun PaineSue HuangAndrew SporleMichael G. BakerDavid R. MurdochAlexei J. DrummondDavid WelchColin R. SimpsonNigel FrenchEdward C. HolmesJoep de LigtReal-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.https://wwwnc.cdc.gov/eid/article/27/5/20-4579_article2019 novel coronavirus diseasecoronavirus diseaseCOVID-19severe acute respiratory syndrome coronavirus 2SARS-CoV-2viruses |
spellingShingle | Jemma L. Geoghegan Jordan Douglas Xiaoyun Ren Matthew Storey James Hadfield Olin K. Silander Nikki E. Freed Lauren Jelley Sarah Jefferies Jillian Sherwood Shevaun Paine Sue Huang Andrew Sporle Michael G. Baker David R. Murdoch Alexei J. Drummond David Welch Colin R. Simpson Nigel French Edward C. Holmes Joep de Ligt Use of Genomics to Track Coronavirus Disease Outbreaks, New Zealand Emerging Infectious Diseases 2019 novel coronavirus disease coronavirus disease COVID-19 severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 viruses |
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 | 2019 novel coronavirus disease coronavirus disease COVID-19 severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 viruses |
url | https://wwwnc.cdc.gov/eid/article/27/5/20-4579_article |
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