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...
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 |
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Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2021-08-01
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Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/67308 |
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