Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chris Illingworth"'
Autor:
Dinesh Aggarwal, Ben Warne, Aminu S. Jahun, William L. Hamilton, Thomas Fieldman, Louis du Plessis, Verity Hill, Beth Blane, Emmeline Watkins, Elizabeth Wright, Grant Hall, Catherine Ludden, Richard Myers, Myra Hosmillo, Yasmin Chaudhry, Malte L. Pinckert, Iliana Georgana, Rhys Izuagbe, Danielle Leek, Olisaeloka Nsonwu, Gareth J. Hughes, Simon Packer, Andrew J. Page, Marina Metaxaki, Stewart Fuller, Gillian Weale, Jon Holgate, Christopher A. Brown, The Cambridge Covid-19 testing Centre, University of Cambridge Asymptomatic COVID-19 Screening Programme Consortium, The COVID-19 Genomics UK (COG-UK) Consortium, Rob Howes, Duncan McFarlane, Gordon Dougan, Oliver G. Pybus, Daniela De Angelis, Patrick H. Maxwell, Sharon J. Peacock, Michael P. Weekes, Chris Illingworth, Ewan M. Harrison, Nicholas J. Matheson, Ian G. Goodfellow
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-16 (2022)
In this study, Aggarwal and colleagues perform prospective sequencing of SARS-CoV-2 isolates derived from asymptomatic student screening and symptomatic testing of students and staff at the University of Cambridge. They identify important factors tha
Externí odkaz:
https://doaj.org/article/bc77a671ccaa4ccdbc85f8222b0d55f1
Breakthrough infections with SARS-CoV-2 Delta variant have been reported in vaccine recipients and in individuals infected with previous variants. However the potential for fully vaccinated individuals (two doses) to transmit SARS-CoV-2 is unclear. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb39920b6e8c40b3cd9b413a94e40f54
https://doi.org/10.1101/2021.11.19.21266406
https://doi.org/10.1101/2021.11.19.21266406
Recent analyses of virus transmission have used genome sequence data to infer greatly contrasting transmission bottlenecks, with estimates differing by orders of magnitude. We here describe two simple mathematical models, the first considering transm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad295bac21cd2da3221bbae0bf9c36d4
https://doi.org/10.31219/osf.io/j6h5r
https://doi.org/10.31219/osf.io/j6h5r
Autor:
Chris Illingworth, William Hamilton, Ben Warne, Matthew Routledge, Ashley Popay, christopher 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, Effrossyni Gkrania-Klotsas, Nicholas M. Brown, Stephen Baker, Michael P. Weekes, Sharon J. Peacock, Ian Goodfellow, Theodore Gouliouris, Daniela de Angelis, Estée Török
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e712c57ca2d9f65452b3a3499885296c
https://doi.org/10.31219/osf.io/wmkn3
https://doi.org/10.31219/osf.io/wmkn3