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COVID-19: Integrating genomic and epidemiological data to inform public health interventions and policy in Tasmania, Australia
OBJECTIVE: We undertook an integrated analysis of genomic and epidemiological data to investigate a large health-care-associated outbreak of coronavirus disease 2019 (COVID-19) and to better understand the epidemiology of COVID-19 cases in Tasmania, Australia. METHODS: Epidemiological data collected...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
World Health Organization
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873912/ https://www.ncbi.nlm.nih.gov/pubmed/35251740 http://dx.doi.org/10.5365/wpsar.2021.12.4.878 |
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author | Stephens, Nicola McPherson, Michelle Cooley, Louise Vanhaeften, Rob Wilmot, Mathilda Lane, Courtney Harlock, Michelle Lodo, Kerryn Castree, Natasha Seemann, Torsten Sait, Michelle Ballard, Susan Horan, Kristy Veitch, Mark Johnston, Fay Sherry, Norelle Howden, Ben |
author_facet | Stephens, Nicola McPherson, Michelle Cooley, Louise Vanhaeften, Rob Wilmot, Mathilda Lane, Courtney Harlock, Michelle Lodo, Kerryn Castree, Natasha Seemann, Torsten Sait, Michelle Ballard, Susan Horan, Kristy Veitch, Mark Johnston, Fay Sherry, Norelle Howden, Ben |
author_sort | Stephens, Nicola |
collection | PubMed |
description | OBJECTIVE: We undertook an integrated analysis of genomic and epidemiological data to investigate a large health-care-associated outbreak of coronavirus disease 2019 (COVID-19) and to better understand the epidemiology of COVID-19 cases in Tasmania, Australia. METHODS: Epidemiological data collected on COVID-19 cases notified in Tasmania between 2 March and 15 May 2020, and positive samples of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or RNA extracted from the samples were included. Sequencing was conducted by tiled amplicon polymerase chain reaction with ARTIC v1 or v3 primers and Illumina sequencing. Consensus sequences were generated, sequences were aligned to a reference sequence and phylogenetic analysis was performed. Genomic clusters were determined and integrated with epidemiological data to provide additional information. RESULTS: All 231 COVID-19 cases notified in Tasmania during the study period and 266 SARS-CoV-2-positive samples, representing 217/231 (94%) notified cases, were included; 184/217 (84%) were clustered, 21/217 (10%) were unique and 12/217 (6%) could not be sequenced. Genomics confirmed the presence of seven clusters already identified through epidemiological links, clarified transmission networks in which the epidemiology had been unclear and identified one cluster that had not previously been recognized. DISCUSSION: Genomic analysis provided useful additional information on COVID-19 in Tasmania, including evidence of a large health-care-associated outbreak linked to an overseas cruise, the probable source of infection in cases with no previously identified epidemiological link and confirmation that there was no identified community transmission from other imported cases. Genomic insights are an important component of the response to COVID-19, and continuing genomic surveillance is warranted. |
format | Online Article Text |
id | pubmed-8873912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | World Health Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-88739122022-03-04 COVID-19: Integrating genomic and epidemiological data to inform public health interventions and policy in Tasmania, Australia Stephens, Nicola McPherson, Michelle Cooley, Louise Vanhaeften, Rob Wilmot, Mathilda Lane, Courtney Harlock, Michelle Lodo, Kerryn Castree, Natasha Seemann, Torsten Sait, Michelle Ballard, Susan Horan, Kristy Veitch, Mark Johnston, Fay Sherry, Norelle Howden, Ben Western Pac Surveill Response J Covid-19 OBJECTIVE: We undertook an integrated analysis of genomic and epidemiological data to investigate a large health-care-associated outbreak of coronavirus disease 2019 (COVID-19) and to better understand the epidemiology of COVID-19 cases in Tasmania, Australia. METHODS: Epidemiological data collected on COVID-19 cases notified in Tasmania between 2 March and 15 May 2020, and positive samples of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or RNA extracted from the samples were included. Sequencing was conducted by tiled amplicon polymerase chain reaction with ARTIC v1 or v3 primers and Illumina sequencing. Consensus sequences were generated, sequences were aligned to a reference sequence and phylogenetic analysis was performed. Genomic clusters were determined and integrated with epidemiological data to provide additional information. RESULTS: All 231 COVID-19 cases notified in Tasmania during the study period and 266 SARS-CoV-2-positive samples, representing 217/231 (94%) notified cases, were included; 184/217 (84%) were clustered, 21/217 (10%) were unique and 12/217 (6%) could not be sequenced. Genomics confirmed the presence of seven clusters already identified through epidemiological links, clarified transmission networks in which the epidemiology had been unclear and identified one cluster that had not previously been recognized. DISCUSSION: Genomic analysis provided useful additional information on COVID-19 in Tasmania, including evidence of a large health-care-associated outbreak linked to an overseas cruise, the probable source of infection in cases with no previously identified epidemiological link and confirmation that there was no identified community transmission from other imported cases. Genomic insights are an important component of the response to COVID-19, and continuing genomic surveillance is warranted. World Health Organization 2021-12-22 /pmc/articles/PMC8873912/ /pubmed/35251740 http://dx.doi.org/10.5365/wpsar.2021.12.4.878 Text en (c) 2021 The authors; licensee World Health Organization. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode (https://creativecommons.org/licenses/by/3.0/igo/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL. |
spellingShingle | Covid-19 Stephens, Nicola McPherson, Michelle Cooley, Louise Vanhaeften, Rob Wilmot, Mathilda Lane, Courtney Harlock, Michelle Lodo, Kerryn Castree, Natasha Seemann, Torsten Sait, Michelle Ballard, Susan Horan, Kristy Veitch, Mark Johnston, Fay Sherry, Norelle Howden, Ben COVID-19: Integrating genomic and epidemiological data to inform public health interventions and policy in Tasmania, Australia |
title | COVID-19: Integrating genomic and epidemiological data to inform public health interventions and policy in Tasmania, Australia |
title_full | COVID-19: Integrating genomic and epidemiological data to inform public health interventions and policy in Tasmania, Australia |
title_fullStr | COVID-19: Integrating genomic and epidemiological data to inform public health interventions and policy in Tasmania, Australia |
title_full_unstemmed | COVID-19: Integrating genomic and epidemiological data to inform public health interventions and policy in Tasmania, Australia |
title_short | COVID-19: Integrating genomic and epidemiological data to inform public health interventions and policy in Tasmania, Australia |
title_sort | covid-19: integrating genomic and epidemiological data to inform public health interventions and policy in tasmania, australia |
topic | Covid-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873912/ https://www.ncbi.nlm.nih.gov/pubmed/35251740 http://dx.doi.org/10.5365/wpsar.2021.12.4.878 |
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