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dc.contributor.authorIllingworth, Christopher Jr
dc.contributor.authorHamilton, William L
dc.contributor.authorWarne, Ben
dc.contributor.authorRoutledge, Matthew
dc.contributor.authorPopay, Ashley
dc.contributor.authorJackson, Chris
dc.contributor.authorFieldman, Tom
dc.contributor.authorMeredith, Luke W
dc.contributor.authorHouldcroft, Charlotte J
dc.contributor.authorHosmillo, Myra
dc.contributor.authorJahun, Aminu S
dc.contributor.authorCaller, Laura G
dc.contributor.authorCaddy, Sarah L
dc.contributor.authorYakovleva, Anna
dc.contributor.authorHall, Grant
dc.contributor.authorKhokhar, Fahad A
dc.contributor.authorFeltwell, Theresa
dc.contributor.authorPinckert, Malte L
dc.contributor.authorGeorgana, Iliana
dc.contributor.authorChaudhry, Yasmin
dc.contributor.authorCurran, Martin D
dc.contributor.authorParmar, Surendra
dc.contributor.authorSparkes, Dominic
dc.contributor.authorRivett, Lucy
dc.contributor.authorJones, Nick K
dc.contributor.authorSridhar, Sushmita
dc.contributor.authorForrest, Sally
dc.contributor.authorDymond, Tom
dc.contributor.authorGrainger, Kayleigh
dc.contributor.authorWorkman, Chris
dc.contributor.authorFerris, Mark
dc.contributor.authorGkrania-Klotsas, Effrossyni
dc.contributor.authorBrown, Nicholas M
dc.contributor.authorWeekes, Michael P
dc.contributor.authorBaker, Stephen
dc.contributor.authorPeacock, Sharon J
dc.contributor.authorGoodfellow, Ian G
dc.contributor.authorGouliouris, Theodore
dc.contributor.authorde Angelis, Daniela
dc.contributor.authorTörök, M Estée
dc.date.accessioned2021-09-25T01:06:20Z
dc.date.available2021-09-25T01:06:20Z
dc.date.issued2021-08-24
dc.identifier.issn2050-084X
dc.identifier.other34425938
dc.identifier.otherPMC8384420
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/328521
dc.description.abstractSARS-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 health care workers (HCWs) in the largest clusters of COVID-19 infection identified during the first wave of the epidemic at Cambridge University Hospitals NHS Foundation Trust, UK. Based upon dates of individuals reporting symptoms, recorded individual locations, and viral genome sequence data, we show an uneven pattern of transmission between individuals, with patients being much more likely to be infected by other patients than by HCWs. Further, the data were consistent with a pattern of superspreading, whereby 21% of individuals caused 80% of transmission events. Our study provides a detailed retrospective analysis of nosocomial SARS-CoV-2 transmission, and sheds light on the need for intensive and pervasive infection control procedures.
dc.languageeng
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 2050-084X
dc.sourcenlmid: 101579614
dc.subjectVirus
dc.subjectMicrobiology
dc.subjectInfectious disease
dc.subjectHospital
dc.subjectEvolutionary Biology
dc.subjectNosocomial Transmission
dc.subjectSuperspreader
dc.subjectSars-cov-2
dc.subjectHumans
dc.subjectRetrospective Studies
dc.subjectDisease Outbreaks
dc.subjectMiddle Aged
dc.subjectHospitals
dc.subjectFemale
dc.subjectMale
dc.subjectCOVID-19
dc.titleSuperspreaders drive the largest outbreaks of hospital onset COVID-19 infections.
dc.typeArticle
dc.date.updated2021-09-25T01:06:19Z
prism.publicationNameeLife
prism.volume10
dc.identifier.doi10.17863/CAM.75969
rioxxterms.versionofrecord10.7554/elife.67308
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidIllingworth, Christopher Jr [0000-0002-0030-2784]
dc.contributor.orcidHamilton, William L [0000-0002-3330-353X]
dc.contributor.orcidHouldcroft, Charlotte J [0000-0002-1833-5285]
dc.contributor.orcidHosmillo, Myra [0000-0002-3514-7681]
dc.contributor.orcidJahun, Aminu S [0000-0002-4585-1701]
dc.contributor.orcidCaddy, Sarah L [0000-0002-9790-7420]
dc.contributor.orcidHall, Grant [0000-0003-3928-3979]
dc.contributor.orcidGeorgana, Iliana [0000-0002-8976-1177]
dc.contributor.orcidRivett, Lucy [0000-0002-2781-9345]
dc.contributor.orcidJones, Nick K [0000-0003-4475-7761]
dc.contributor.orcidSridhar, Sushmita [0000-0001-7453-7482]
dc.contributor.orcidFerris, Mark [0000-0001-5040-4263]
dc.contributor.orcidGkrania-Klotsas, Effrossyni [0000-0002-0930-8330]
dc.contributor.orcidBrown, Nicholas M [0000-0002-6657-300X]
dc.contributor.orcidWeekes, Michael P [0000-0003-3196-5545]
dc.contributor.orcidBaker, Stephen [0000-0003-1308-5755]
dc.contributor.orcidPeacock, Sharon J [0000-0002-1718-2782]
dc.contributor.orcidGoodfellow, Ian G [0000-0002-9483-510X]
dc.contributor.orcidTörök, M Estée [0000-0001-9098-8590]
pubs.funder-project-idWellcome Trust (108070/Z/15/Z, 204870/Z/16/Z, 207498/Z/17/Z, 215515/Z/19/Z, 097997/Z/11/Z)
pubs.funder-project-idMedical Research Council (MC_UU_00002/11)
pubs.funder-project-idDeutsche Forschungsgemeinschaft (SFB 1310)


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International