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Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units - a high risk community-hospital interface

Li, KK; Woo, YM; Stirrup, O; Hughes, J; Ho, A; Filipe, ADS; Johnson, N; ... COVID-19 Genomics UK (COG-UK) consortium, .; + view all (2021) Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units - a high risk community-hospital interface. Journal of Infection 10.1016/j.jinf.2021.04.020. (In press). Green open access

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Abstract

OBJECTIVES: Patients requiring haemodialysis are at increased risk of serious illness with SARS-CoV-2 infection. To improve the understanding of transmission risks in six Scottish renal dialysis units, we utilised the rapid whole-genome sequencing data generated by the COG-UK consortium. METHODS: We combined geographical, temporal and genomic sequence data from the community and hospital to estimate the probability of infection originating from within the dialysis unit, the hospital or the community using Bayesian statistical modelling and compared these results to the details of epidemiological investigations. RESULTS: Of 671 patients, 60 (8.9%) became infected with SARS-CoV-2, of whom 16 (27%) died. Within-unit and community transmission were both evident and an instance of transmission from the wider hospital setting was also demonstrated. CONCLUSIONS: Near-real-time SARS-CoV-2 sequencing data can facilitate tailored infection prevention and control measures, which can be targeted at reducing risk in these settings.

Type: Article
Title: Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units - a high risk community-hospital interface
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jinf.2021.04.020
Publisher version: https://doi.org/10.1016/j.jinf.2021.04.020
Language: English
Additional information: © 2021 The Author(s). Published by Elsevier Ltd on behalf of The British Infection Association. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: COVID-19, Haemodialysis, Infection control, Nosocomial, Outbreak, Rapid sequencing, Renal dialysis unit, SARS-CoV-2
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health > Infection and Population Health
URI: https://discovery.ucl.ac.uk/id/eprint/10125264
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