The Impact of Real-Time Whole-Genome Sequencing in Controlling Healthcare-Associated SARS-CoV-2 Outbreaks.
The Impact of Real-Time Whole-Genome Sequencing in Controlling Healthcare-Associated SARS-CoV-2 Outbreaks.
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DOI:
10.1093/infdis/jiab483
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发表时间:
2022-01-05
期刊:
影响因子:
--
通讯作者:
COVID-19 Genomics UK (COG-UK) consortium
中科院分区:
文献类型:
--
作者:
Francis RV;Billam H;Clarke M;Yates C;Tsoleridis T;Berry L;Mahida N;Irving WL;Moore C;Holmes N;Ball JK;Loose M;McClure CP;COVID-19 Genomics UK (COG-UK) consortium
Nosocomial severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have severely affected bed capacity and patient flow. We utilized whole-genome sequencing (WGS) to identify outbreaks and focus infection control resources and intervention during the United Kingdom’s second pandemic wave in late 2020. Phylogenetic analysis of WGS and epidemiological data pinpointed an initial transmission event to an admission ward, with immediate prior community infection linkage documented. High incidence of asymptomatic staff infection with genetically identical viral sequences was also observed, which may have contributed to the propagation of the outbreak. WGS allowed timely nosocomial transmission intervention measures, including admissions ward point-of-care testing and introduction of portable HEPA14 filters. Conversely, WGS excluded nosocomial transmission in 2 instances with temporospatial linkage, conserving time and resources. In summary, WGS significantly enhanced understanding of SARS-CoV-2 clusters in a hospital setting, both identifying high-risk areas and conversely validating existing control measures in other units, maintaining clinical service overall. SARS-CoV-2 whole-genome sequencing, combined with classical epidemiology, identified nosocomial transmission events, informing targeted infection prevention measures during the UK’s second epidemic wave. Conversely, nosocomial transmission was excluded by sequencing in 2 instances with temporospatial linkage, conserving time and resources.
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DOI:
10.1126/science.abg3055
发表时间:
2021-04-09
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Davies NG;Abbott S;Barnard RC;Jarvis CI;Kucharski AJ;Munday JD;Pearson CAB;Russell TW;Tully DC;Washburne AD;Wenseleers T;Gimma A;Waites W;Wong KLM;van Zandvoort K;Silverman JD;CMMID COVID-19 Working Group;COVID-19 Genomics UK (COG-UK) Consortium;Diaz-Ordaz K;Keogh R;Eggo RM;Funk S;Jit M;Atkins KE;Edmunds WJ
通讯作者:
Edmunds WJ
影响因子:
3
作者:
Marquis B;Opota O;Jaton K;Greub G
通讯作者:
Greub G
影响因子:
--
作者:
O'Toole, Aine;Hill, Verity;Kraemer, Moritz U G
通讯作者:
Kraemer, Moritz U G
影响因子:
6.9
作者:
Carter, B.;Collins, J. T.;McCarthy, K.
通讯作者:
McCarthy, K.
影响因子:
11.8
作者:
Cheng, Vincent Chi-Chung;Fung, Kitty Sau-Chun;Yuen, Kwok-Yung
通讯作者:
Yuen, Kwok-Yung