Author: Rockett, Rebecca J; Arnott, Alicia; Lam, Connie; Sadsad, Rosemarie; Timms, Verlaine; Gray, Karen-Ann; Eden, John-Sebastian; Chang, Sheryl; Gall, Mailie; Draper, Jenny; Sim, Eby; Bachmann, Nathan L; Carter, Ian; Basile, Kerri; Byun, Roy; O’Sullivan, Matthew V; Chen, Sharon C-A; Maddocks, Susan; Sorrell, Tania C.; Dwyer, Dominic E; Holmes, Edward C; Kok, Jen; Prokopenko, Mikhail; Sintchenko, Vitali
Title: Revealing COVID-19 Transmission by SARS-CoV-2 Genome Sequencing and Agent Based Modelling Cord-id: r2ivqg5j Document date: 2020_4_24
ID: r2ivqg5j
Snippet: Community transmission of the new coronavirus SARS-CoV-2 is a major public health concern that remains difficult to assess. We present a genomic survey of SARS-CoV-2 from a during the first 10 weeks of COVID-19 activity in New South Wales, Australia. Transmission events were monitored prospectively during the critical period of implementation of national control measures. SARS-CoV-2 genomes were sequenced from 209 patients diagnosed with COVID-19 infection between January and March 2020. Only a
Document: Community transmission of the new coronavirus SARS-CoV-2 is a major public health concern that remains difficult to assess. We present a genomic survey of SARS-CoV-2 from a during the first 10 weeks of COVID-19 activity in New South Wales, Australia. Transmission events were monitored prospectively during the critical period of implementation of national control measures. SARS-CoV-2 genomes were sequenced from 209 patients diagnosed with COVID-19 infection between January and March 2020. Only a quarter of cases appeared to be locally acquired and genomic-based estimates of local transmission rates were concordant with predictions from a computational agent-based model. This convergent assessment indicates that genome sequencing provides key information to inform public health action and has improved our understanding of the COVID-19 evolution from outbreak to epidemic.
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