Revealing COVID-19 Transmission by SARS-CoV-2 Genome Sequencing and Agent Based Modelling
| Field | Value | Language |
| dc.contributor.author | Rockett, Rebecca J | en |
| dc.contributor.author | Arnott, Alicia | en |
| dc.contributor.author | Lam, Connie | en |
| dc.contributor.author | Sadsad, Rosemarie | en |
| dc.contributor.author | Timms, Verlaine | en |
| dc.contributor.author | Gray, Karen-Ann | en |
| dc.contributor.author | Eden, John-Sebastian | en |
| dc.contributor.author | Chang, Sheryl | en |
| dc.contributor.author | Gall, Mailie | en |
| dc.contributor.author | Draper, Jenny | en |
| dc.contributor.author | Sim, Eby | en |
| dc.contributor.author | Bachmann, Nathan L | en |
| dc.contributor.author | Carter, Ian | en |
| dc.contributor.author | Basile, Kerri | en |
| dc.contributor.author | Byun, Roy | en |
| dc.contributor.author | O'Sullivan, Matthew V | en |
| dc.contributor.author | Chen, Sharon C-A | en |
| dc.contributor.author | Maddocks, Susan | en |
| dc.contributor.author | Sorrell, Tania C | en |
| dc.contributor.author | Dwyer, Dominic E | en |
| dc.contributor.author | Holmes, Edward C. | en |
| dc.contributor.author | Kok, Jen | en |
| dc.contributor.author | Prokopenko, Mikhail | en |
| dc.contributor.author | Sintchenko, Vitali | en |
| dc.date.accessioned | 2020-05-27 | |
| dc.date.available | 2020-05-27 | |
| dc.date.issued | 2020 | en |
| dc.identifier.uri | https://hdl.handle.net/2123/22415 | |
| dc.description.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. | en |
| dc.language.iso | en | en |
| dc.rights | Other | |
| dc.subject | COVID-19 | en |
| dc.subject | Coronavirus | en |
| dc.title | Revealing COVID-19 Transmission by SARS-CoV-2 Genome Sequencing and Agent Based Modelling | en |
| dc.type | Preprint | en |
| dc.identifier.doi | 10.1101/2020.04.19.048751 | |
| dc.relation.other | New South Wales Ministry of Health, NHMRC Centre for Research Excellence in Emerging Infectious Diseases (GNT1102962) and Australian Research Council grant DP200103005 | en |
| usyd.faculty | Faculty of Medicine and Health, Sydney Medical School | en |
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