Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units - A high risk community-hospital interface
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:83 |
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| Enthalten in: |
The Journal of infection - 83(2021), 1 vom: 25. Juli, Seite 96-103 |
| Sprache: |
Englisch |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 24.06.2021 Date Revised 01.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jinf.2021.04.020 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM324487878 |
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| 100 | 1 | |a Li, Kathy K |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units - A high risk community-hospital interface |
| 264 | 1 | |c 2021 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
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| 500 | |a Date Completed 24.06.2021 | ||
| 500 | |a Date Revised 01.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Haemodialysis | |
| 650 | 4 | |a Infection control | |
| 650 | 4 | |a Nosocomial | |
| 650 | 4 | |a Outbreak | |
| 650 | 4 | |a Rapid sequencing | |
| 650 | 4 | |a Renal dialysis unit | |
| 650 | 4 | |a SARS-CoV-2 | |
| 700 | 1 | |a Woo, Y Mun |e verfasserin |4 aut | |
| 700 | 1 | |a Stirrup, Oliver |e verfasserin |4 aut | |
| 700 | 1 | |a Hughes, Joseph |e verfasserin |4 aut | |
| 700 | 1 | |a Ho, Antonia |e verfasserin |4 aut | |
| 700 | 1 | |a Filipe, Ana Da Silva |e verfasserin |4 aut | |
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