Tracking the COVID-19 pandemic in Australia using genomics

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作者
Torsten Seemann
Courtney R. Lane
Norelle L. Sherry
Sebastian Duchene
Anders Gonçalves da Silva
Leon Caly
Michelle Sait
Susan A. Ballard
Kristy Horan
Mark B. Schultz
Tuyet Hoang
Marion Easton
Sally Dougall
Timothy P. Stinear
Julian Druce
Mike Catton
Brett Sutton
Annaliese van Diemen
Charles Alpren
Deborah A. Williamson
Benjamin P. Howden
机构
[1] The University of Melbourne at The Peter Doherty Institute for Infection and Immunity,Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology
[2] The University of Melbourne at The Peter Doherty Institute for Infection and Immunity,Doherty Applied Microbial Genomics, Department of Microbiology and Immunology
[3] The University of Melbourne at The Peter Doherty Institute for Infection and Immunity,Department of Microbiology and Immunology
[4] Victorian Infectious Diseases Reference Laboratory at The Peter Doherty Institute for Infection and Immunity,undefined
[5] Victorian Department of Health and Human Services,undefined
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摘要
Genomic sequencing has significant potential to inform public health management for SARS-CoV-2. Here we report high-throughput genomics for SARS-CoV-2, sequencing 80% of cases in Victoria, Australia (population 6.24 million) between 6 January and 14 April 2020 (total 1,333 COVID-19 cases). We integrate epidemiological, genomic and phylodynamic data to identify clusters and impact of interventions. The global diversity of SARS-CoV-2 is represented, consistent with multiple importations. Seventy-six distinct genomic clusters were identified, including large clusters associated with social venues, healthcare and cruise ships. Sequencing sequential samples from 98 patients reveals minimal intra-patient SARS-CoV-2 genomic diversity. Phylodynamic modelling indicates a significant reduction in the effective viral reproductive number (Re) from 1.63 to 0.48 after implementing travel restrictions and physical distancing. Our data provide a concrete framework for the use of SARS-CoV-2 genomics in public health responses, including its use to rapidly identify SARS-CoV-2 transmission chains, increasingly important as social restrictions ease globally.
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