Use of genomics to track coronavirus disease outbreaks, New Zealand
Field | Value | Language |
dc.contributor.author | Geoghegan, J.L. | en_AU |
dc.contributor.author | Douglas, J. | en_AU |
dc.contributor.author | Ren, X. | en_AU |
dc.contributor.author | Storey, M. | en_AU |
dc.contributor.author | Hadfield, J. | en_AU |
dc.contributor.author | Silander, O.K. | en_AU |
dc.contributor.author | Freed, N.E. | en_AU |
dc.contributor.author | Jelley, L. | en_AU |
dc.contributor.author | Jefferies, S. | en_AU |
dc.contributor.author | Sherwood, J. | en_AU |
dc.contributor.author | Paine, S. | en_AU |
dc.contributor.author | Huang, S. | en_AU |
dc.contributor.author | Sporle, A. | en_AU |
dc.contributor.author | Baker, M.G. | en_AU |
dc.contributor.author | Murdoch, D.R. | en_AU |
dc.contributor.author | Drummond, A.J. | en_AU |
dc.contributor.author | Welch, D. | en_AU |
dc.contributor.author | Simpson, C.R. | en_AU |
dc.contributor.author | French, N. | en_AU |
dc.contributor.author | Holmes, E.C. | en_AU |
dc.contributor.author | de Ligt, J. | en_AU |
dc.date.accessioned | 2021-06-10T02:32:32Z | |
dc.date.available | 2021-06-10T02:32:32Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/2123/25396 | |
dc.description.abstract | 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. | en_AU |
dc.language.iso | en | en_AU |
dc.subject | COVID-19 | en_AU |
dc.subject | Coronavirus | en_AU |
dc.title | Use of genomics to track coronavirus disease outbreaks, New Zealand | en_AU |
dc.type | Article | en_AU |
dc.identifier.doi | 10.3201/eid2705.204579 |
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