Superspreaders drive the largest outbreaks of hospital onset COVID-19 infections

SARS-CoV-2 is notable both for its rapid spread, and for the heterogeneity of its patterns of transmission, with multiple published incidences of superspreading behaviour. Here, we applied a novel network reconstruction algorithm to infer patterns of viral transmission occurring between patients and...

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Bibliographic Details
Main Authors: Christopher JR Illingworth, William L Hamilton, Ben Warne, Matthew Routledge, Ashley Popay, Chris Jackson, Tom Fieldman, Luke W Meredith, Charlotte J Houldcroft, Myra Hosmillo, Aminu S Jahun, Laura G Caller, Sarah L Caddy, Anna Yakovleva, Grant Hall, Fahad A Khokhar, Theresa Feltwell, Malte L Pinckert, Iliana Georgana, Yasmin Chaudhry, Martin D Curran, Surendra Parmar, Dominic Sparkes, Lucy Rivett, Nick K Jones, Sushmita Sridhar, Sally Forrest, Tom Dymond, Kayleigh Grainger, Chris Workman, Mark Ferris, Effrossyni Gkrania-Klotsas, Nicholas M Brown, Michael P Weekes, Stephen Baker, Sharon J Peacock, Ian G Goodfellow, Theodore Gouliouris, Daniela de Angelis, M Estée Török
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-08-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/67308

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