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

Publication: OSF Preprints

Christopher J. R. Illingworth,  William L. Hamilton,  Ben Warne, Matthew Routledge, Ashley Popay, Chris Jackson, Tom Fieldman, Luke Meredith, Charlotte J. Houldcroft, Myra Hosmillo, Aminu Jahun, Laura Caller, Sarah Caddy, Anna Yakovleva, Grant Hall, Fahad A. Khokhar, Theresa Feltwell, Malte L. Pinckert, Iliana Georgana, Yasmin Chaudhry, Dominic Sparkes, Lucy Rivett, Nick K. Jones, Sushmita Sridhar, Sally Forrest, Tom Dymond, Kayleigh Grainger, Chris Workman, Effrossyni Gkrania-Klotsas, Nicholas M. Brown, Michael P. Weekes, Stephen Baker, Sharon J. Peacock, Ian Goodfellow, Theodore Gouliouris, Daniela De Angelis, M. Estée Török

15 February 2021


Summary

The SARS-CoV-2 virus has been noted both for its rapid spread, but also for the heterogeneity of transmission, with incidences noted of superspreading behaviour.

Researchers applied a novel network reconstruction algorithm to find patterns of viral transmission occurring between patients and health care workers.

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