The Impact of Real-Time Whole-Genome Sequencing in Controlling Healthcare-Associated SARS-CoV-2 Outbreaks

被引:32
作者
Francis, Rodric, V [1 ]
Billam, Harriet [1 ]
Clarke, Mitch [1 ]
Yates, Carl [1 ]
Tsoleridis, Theocharis [2 ,3 ,4 ]
Berry, Louise [1 ]
Mahida, Nikunj [1 ]
Irving, William L. [1 ,2 ,3 ,4 ]
Moore, Christopher [2 ]
Holmes, Nadine [2 ]
Ball, Jonathan K. [2 ,3 ,4 ]
Loose, Matthew [2 ]
McClure, C. Patrick [2 ,3 ,4 ]
机构
[1] Nottingham Univ Hosp NHS Trust, Dept Clin Microbiol, Nottingham, England
[2] Univ Nottingham, Sch Life Sci, Nottingham, England
[3] Univ Nottingham, Natl Inst Hlth Res Nottingham Biomed, Res Ctr, Nottingham, England
[4] Univ Nottingham, Wolfson Ctr Emerging Virus Res, Nottingham, England
基金
英国医学研究理事会;
关键词
cluster; genetic epidemiology; infection control; nosocomial transmission; outbreak; SARS-CoV-2; virus; whole-genome sequencing: COVID-19; AIRBORNE TRANSMISSION; NOSOCOMIAL COVID-19; PREVENTION; MANAGEMENT;
D O I
10.1093/infdis/jiab483
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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.
引用
收藏
页码:10 / 18
页数:9
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