Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia
Abstract 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 interv...
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2021
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oai:doaj.org-article:00334b117b2c4864a7b36ed6aa576f8e2021-11-21T12:27:59ZDocumenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia10.1186/s13104-021-05827-x1756-0500https://doaj.org/article/00334b117b2c4864a7b36ed6aa576f8e2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13104-021-05827-xhttps://doaj.org/toc/1756-0500Abstract 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.Alicia ArnottJenny DraperRebecca J. RockettConnie LamRosemarie SadsadMailie GallElena MartinezRoy ByunJennie MustoBen MaraisSharon C.-A. ChenJen KokDominic E. DwyerVitali SintchenkoBMCarticleSARS-CoV-2Genomic epidemiologyBioinformaticsWhole genome sequencingAustraliaMedicineRBiology (General)QH301-705.5Science (General)Q1-390ENBMC Research Notes, Vol 14, Iss 1, Pp 1-4 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
SARS-CoV-2 Genomic epidemiology Bioinformatics Whole genome sequencing Australia Medicine R Biology (General) QH301-705.5 Science (General) Q1-390 |
| spellingShingle |
SARS-CoV-2 Genomic epidemiology Bioinformatics Whole genome sequencing Australia Medicine R Biology (General) QH301-705.5 Science (General) Q1-390 Alicia Arnott Jenny Draper Rebecca J. Rockett Connie Lam Rosemarie Sadsad Mailie Gall Elena Martinez Roy Byun Jennie Musto Ben Marais Sharon C.-A. Chen Jen Kok Dominic E. Dwyer Vitali Sintchenko Documenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australia |
| description |
Abstract 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. |
| format |
article |
| author |
Alicia Arnott Jenny Draper Rebecca J. Rockett Connie Lam Rosemarie Sadsad Mailie Gall Elena Martinez Roy Byun Jennie Musto Ben Marais Sharon C.-A. Chen Jen Kok Dominic E. Dwyer Vitali Sintchenko |
| author_facet |
Alicia Arnott Jenny Draper Rebecca J. Rockett Connie Lam Rosemarie Sadsad Mailie Gall Elena Martinez Roy Byun Jennie Musto Ben Marais Sharon C.-A. Chen Jen Kok Dominic E. Dwyer Vitali Sintchenko |
| author_sort |
Alicia Arnott |
| title |
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_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_sort |
documenting elimination of co-circulating covid-19 clusters using genomics in new south wales, australia |
| publisher |
BMC |
| publishDate |
2021 |
| url |
https://doaj.org/article/00334b117b2c4864a7b36ed6aa576f8e |
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