Genomic epidemiology reveals transmission patterns and dynamics of SARS-CoV-2 in Aotearoa New Zealand.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
11 12 2020
Historique:
received: 19 08 2020
accepted: 19 11 2020
entrez: 14 12 2020
pubmed: 15 12 2020
medline: 29 12 2020
Statut: epublish

Résumé

New Zealand, a geographically remote Pacific island with easily sealable borders, implemented a nationwide 'lockdown' of all non-essential services to curb the spread of COVID-19. Here, we generate 649 SARS-CoV-2 genome sequences from infected patients in New Zealand with samples collected during the 'first wave', representing 56% of all confirmed cases in this time period. Despite its remoteness, the viruses imported into New Zealand represented nearly all of the genomic diversity sequenced from the global virus population. These data helped to quantify the effectiveness of public health interventions. For example, the effective reproductive number, R

Identifiants

pubmed: 33311501
doi: 10.1038/s41467-020-20235-8
pii: 10.1038/s41467-020-20235-8
pmc: PMC7733492
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6351

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Auteurs

Jemma L Geoghegan (JL)

Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand. jemma.geoghegan@otago.ac.nz.
Institute of Environmental Science and Research, Wellington, New Zealand. jemma.geoghegan@otago.ac.nz.

Xiaoyun Ren (X)

Institute of Environmental Science and Research, Wellington, New Zealand.

Matthew Storey (M)

Institute of Environmental Science and Research, Wellington, New Zealand.

James Hadfield (J)

Fred Hutchinson Cancer Research Centre, Seattle, WA, USA.

Lauren Jelley (L)

Institute of Environmental Science and Research, Wellington, New Zealand.

Sarah Jefferies (S)

Institute of Environmental Science and Research, Wellington, New Zealand.

Jill Sherwood (J)

Institute of Environmental Science and Research, Wellington, New Zealand.

Shevaun Paine (S)

Institute of Environmental Science and Research, Wellington, New Zealand.

Sue Huang (S)

Institute of Environmental Science and Research, Wellington, New Zealand.

Jordan Douglas (J)

Centre for Computational Evolution, School of Computer Science, University of Auckland, Auckland, New Zealand.

Fábio K Mendes (FK)

Centre for Computational Evolution, School of Computer Science, University of Auckland, Auckland, New Zealand.

Andrew Sporle (A)

Department of Statistics, University of Auckland, Auckland, New Zealand.
McDonaldSporle Ltd., Auckland, New Zealand.

Michael G Baker (MG)

Department of Public Health, University of Otago, Wellington, New Zealand.

David R Murdoch (DR)

Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.

Nigel French (N)

School of Veterinary Science, Massey University, Palmerston North, New Zealand.

Colin R Simpson (CR)

School of Health, Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.
Usher Institute, University of Edinburgh, Edinburgh, UK.

David Welch (D)

Centre for Computational Evolution, School of Computer Science, University of Auckland, Auckland, New Zealand.

Alexei J Drummond (AJ)

Centre for Computational Evolution, School of Computer Science, University of Auckland, Auckland, New Zealand.

Edward C Holmes (EC)

Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia.

Sebastián Duchêne (S)

Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.

Joep de Ligt (J)

Institute of Environmental Science and Research, Wellington, New Zealand.

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Classifications MeSH