Back to Search Start Over

The power and limitations of genomics to track COVID-19 outbreaks: a case study from New Zealand

Authors :
Xiaoyun Ren
Olin K. Silander
Jordan Douglas
Andrew Sporle
Shevaun Paine
Lauren Jelley
Joep de Ligt
Sue Huang
David R. Murdoch
Alexei J. Drummond
David Welch
Jemma L. Geoghegan
Matt Storey
Sarah Jefferies
Nikki E. Freed
Jillian Sherwood
Edward C. Holmes
Nigel P. French
James Hadfield
Michael G Baker
Colin R Simpson
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

SummaryBackgroundReal-time genomic sequencing has played a major role in tracking the global spread and local transmission of SARS-CoV-2, contributing greatly to disease mitigation strategies. After effectively eliminating the virus, New Zealand experienced a second outbreak of SARS-CoV-2 in August 2020. During this August outbreak, New Zealand utilised genomic sequencing in a primary role to support its track and trace efforts for the first time, leading to a second successful elimination of the virus.MethodsWe generated the genomes of 80% of the laboratory-confirmed samples of SARS-CoV-2 from New Zealand’s August 2020 outbreak and compared these genomes to the available global genomic data.FindingsGenomic sequencing was able to rapidly identify that the new COVID-19 cases in New Zealand belonged to a single cluster and hence resulted from a single introduction. However, successful identification of the origin of this outbreak was impeded by substantial biases and gaps in global sequencing data.InterpretationAccess to a broader and more heterogenous sample of global genomic data would strengthen efforts to locate the source of any new outbreaks.FundingThis work was funded by the Ministry of Health of New Zealand, New Zealand Ministry of Business, Innovation and Employment COVID-19 Innovation Acceleration Fund (CIAF-0470), ESR Strategic Innovation Fund and the New Zealand Health Research Council (20/1018 and 20/1041).

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........9b590a180564e6ad55b38d35c9299108
Full Text :
https://doi.org/10.1101/2020.10.28.20221853