Article ; Online: The Impact of Real-Time Whole-Genome Sequencing in Controlling Healthcare-Associated SARS-CoV-2 Outbreaks.
The Journal of infectious diseases
2021 Volume 225, Issue 1, Page(s) 10–18
Abstract: 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 ... ...
Abstract | 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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MeSH term(s) | Asymptomatic Infections ; COVID-19 ; Cross Infection/epidemiology ; Delivery of Health Care ; Disease Outbreaks/prevention & control ; Health Personnel ; Humans ; Personal Protective Equipment ; Phylogeny ; Reverse Transcriptase Polymerase Chain Reaction/methods ; SARS-CoV-2 ; Whole Genome Sequencing |
Language | English |
Publishing date | 2021-09-23 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 3019-3 |
ISSN | 1537-6613 ; 0022-1899 |
ISSN (online) | 1537-6613 |
ISSN | 0022-1899 |
DOI | 10.1093/infdis/jiab483 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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