期刊
JOURNAL OF INFECTIOUS DISEASES
卷 225, 期 1, 页码 10-18出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/infdis/jiab483
关键词
cluster; genetic epidemiology; infection control; nosocomial transmission; outbreak; SARS-CoV-2; virus; whole-genome sequencing: COVID-19
资金
- Medical Research Council, part of UK Research and Innovation
- National Institute for Health Research [MC_ PC_19027]
- Genome Research Limited
Utilizing whole-genome sequencing technology to analyze SARS-CoV-2 clusters in hospital settings helps to identify the origin and transmission pathways of outbreaks, enabling timely intervention measures. Additionally, this technology can also exclude false nosocomial transmission events, saving healthcare resources.
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.
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