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REVEALING COVID-19 TRANSMISSION BY SARS-CoV-2 GENOME SEQUENCING AND AGENT BASED MODELLING
Rebecca J Rockett; Alicia Arnott; Connie Lam; Rosemarie Sadsad; Verlaine Timms; Karen-Ann Gray; John-Sebastian Eden; Sheryl Le Chang; Mailie Gall; Jenny Draper; Eby Sim; Nathan L Bachmann; Ian Carter; Kerri Basile; Roy Byun; Matthew V O Sullivan; Sharon C-A Chen; Susan Maddocks; Tania C Sorrell; Dominic E Dwyer; Edward C Holmes; Jen Kok; Mikhail Prokopenko; Vitali Sintchenko.
Afiliação
  • Rebecca J Rockett; University of Sydney
  • Alicia Arnott; NSW Health Pathology
  • Connie Lam; Westmead Hospital
  • Rosemarie Sadsad; The University of Sydney
  • Verlaine Timms; Westmead Hospital
  • Karen-Ann Gray; Westmead Hospital
  • John-Sebastian Eden; University of Sydney
  • Sheryl Le Chang; University of Sydney
  • Mailie Gall; NSW Health Pathology
  • Jenny Draper; NSW Health Pathology
  • Eby Sim; NSW Health Pathology
  • Nathan L Bachmann; Westmead Hospital
  • Ian Carter; NSW Health Pathology
  • Kerri Basile; NSW Health Pathology
  • Roy Byun; NSW Ministry of Health
  • Matthew V O Sullivan; NSW Health Pathology
  • Sharon C-A Chen; NSW Health Pathology
  • Susan Maddocks; NSW Health Pathology
  • Tania C Sorrell; The University of Sydney
  • Dominic E Dwyer; NSW Health Pathology
  • Edward C Holmes; University of Sydney
  • Jen Kok; NSW Health Pathology
  • Mikhail Prokopenko; The University of Sydney
  • Vitali Sintchenko; The University of Sydney
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-048751
ABSTRACT
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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Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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