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

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dc.contributor.authorArnott, Aliciaen
dc.contributor.authorDraper, Jennyen
dc.contributor.authorRockett, Rebecca J.en
dc.contributor.authorLam, Connieen
dc.contributor.authorSadsad, Rosemarieen
dc.contributor.authorGall, Mailieen
dc.contributor.authorMartinez, Elenaen
dc.contributor.authorByun, Royen
dc.contributor.authorMusto, Jennieen
dc.contributor.authorMarais, Benen
dc.contributor.authorChen, Sharon C.-A.en
dc.contributor.authorKok, Jenen
dc.contributor.authorDwyer, Dominic E.en
dc.contributor.authorSintchenko, Vitalien
dc.date.accessioned2021-11-26T05:04:55Z
dc.date.available2021-11-26T05:04:55Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/2123/26970
dc.description.abstractObjectiveTo adapt 'fishplots' to describe real-time evolution of SARS-CoV-2 genomic clusters.ResultsThis 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.en
dc.language.isoenen
dc.rightsOther
dc.subjectCOVID-19en
dc.subjectCoronavirusen
dc.titleDocumenting elimination of co-circulating COVID-19 clusters using genomics in New South Wales, Australiaen
dc.typeArticleen
dc.identifier.doi10.1186/s13104-021-05827-x
dc.relation.otherNew South Wales Department of Healthen
dc.relation.otherNational Health and Medical Research Councilen
usyd.facultySeS faculties schools::Faculty of Medicine and Healthen


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