Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia

OBJECTIVE: To adapt ‘fishplots’ to describe real-time evolution of SARS-CoV-2 genomic clusters. RESULTS: This novel analysis adapted the fishplot to depict the size and duration of circulating genomic clusters over time in New South Wales, Australia. It illuminated the effectiveness of interventions...

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Autores principales: Arnott, Alicia, Draper, Jenny, Rockett, Rebecca J., Lam, Connie, Sadsad, Rosemarie, Gall, Mailie, Martinez, Elena, Byun, Roy, Musto, Jennie, Marais, Ben, Chen, Sharon C.-A., Kok, Jen, Dwyer, Dominic E., Sintchenko, Vitali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596089/
https://www.ncbi.nlm.nih.gov/pubmed/34789337
http://dx.doi.org/10.1186/s13104-021-05827-x
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author Arnott, Alicia
Draper, Jenny
Rockett, Rebecca J.
Lam, Connie
Sadsad, Rosemarie
Gall, Mailie
Martinez, Elena
Byun, Roy
Musto, Jennie
Marais, Ben
Chen, Sharon C.-A.
Kok, Jen
Dwyer, Dominic E.
Sintchenko, Vitali
author_facet Arnott, Alicia
Draper, Jenny
Rockett, Rebecca J.
Lam, Connie
Sadsad, Rosemarie
Gall, Mailie
Martinez, Elena
Byun, Roy
Musto, Jennie
Marais, Ben
Chen, Sharon C.-A.
Kok, Jen
Dwyer, Dominic E.
Sintchenko, Vitali
author_sort Arnott, Alicia
collection PubMed
description OBJECTIVE: To adapt ‘fishplots’ to describe real-time evolution of SARS-CoV-2 genomic clusters. RESULTS: This novel analysis adapted the fishplot to depict the size and duration of circulating genomic clusters over time in New South Wales, Australia. It illuminated the effectiveness of interventions on the emergence, spread and eventual elimination of clusters and distilled genomic data into clear information to inform public health action. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05827-x.
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spelling pubmed-85960892021-11-17 Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia Arnott, Alicia Draper, Jenny Rockett, Rebecca J. Lam, Connie Sadsad, Rosemarie Gall, Mailie Martinez, Elena Byun, Roy Musto, Jennie Marais, Ben Chen, Sharon C.-A. Kok, Jen Dwyer, Dominic E. Sintchenko, Vitali BMC Res Notes Research Note OBJECTIVE: To adapt ‘fishplots’ to describe real-time evolution of SARS-CoV-2 genomic clusters. RESULTS: This novel analysis adapted the fishplot to depict the size and duration of circulating genomic clusters over time in New South Wales, Australia. It illuminated the effectiveness of interventions on the emergence, spread and eventual elimination of clusters and distilled genomic data into clear information to inform public health action. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05827-x. BioMed Central 2021-11-17 /pmc/articles/PMC8596089/ /pubmed/34789337 http://dx.doi.org/10.1186/s13104-021-05827-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Note
Arnott, Alicia
Draper, Jenny
Rockett, Rebecca J.
Lam, Connie
Sadsad, Rosemarie
Gall, Mailie
Martinez, Elena
Byun, Roy
Musto, Jennie
Marais, Ben
Chen, Sharon C.-A.
Kok, Jen
Dwyer, Dominic E.
Sintchenko, Vitali
Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia
title Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia
title_full Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia
title_fullStr Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia
title_full_unstemmed Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia
title_short Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia
title_sort documenting elimination of co-circulating covid-19 clusters using genomics in new south wales, australia
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596089/
https://www.ncbi.nlm.nih.gov/pubmed/34789337
http://dx.doi.org/10.1186/s13104-021-05827-x
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