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The Impact of Real-Time Whole-Genome Sequencing in Controlling Healthcare-Associated SARS-CoV-2 Outbreaks.
Francis, Rodric V; Billam, Harriet; Clarke, Mitch; Yates, Carl; Tsoleridis, Theocharis; Berry, Louise; Mahida, Nikunj; Irving, William L; Moore, Christopher; Holmes, Nadine; Ball, Jonathan K; Loose, Matthew; McClure, C Patrick.
  • Francis RV; Department of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
  • Billam H; Department of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
  • Clarke M; Department of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
  • Yates C; Department of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
  • Tsoleridis T; School of Life Sciences, University of Nottingham, Nottingham, United Kingdom.
  • Berry L; National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom.
  • Mahida N; Wolfson Centre for Emerging Virus Research, University of Nottingham, Nottingham, United Kingdom.
  • Irving WL; Department of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
  • Moore C; Department of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
  • Holmes N; Department of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
  • Ball JK; School of Life Sciences, University of Nottingham, Nottingham, United Kingdom.
  • Loose M; National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom.
  • McClure CP; Wolfson Centre for Emerging Virus Research, University of Nottingham, Nottingham, United Kingdom.
J Infect Dis ; 225(1): 10-18, 2022 01 05.
Article in English | MEDLINE | ID: covidwho-1434406
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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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cross Infection / Disease Outbreaks / Reverse Transcriptase Polymerase Chain Reaction / Whole Genome Sequencing / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: J Infect Dis Year: 2022 Document Type: Article Affiliation country: Infdis

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cross Infection / Disease Outbreaks / Reverse Transcriptase Polymerase Chain Reaction / Whole Genome Sequencing / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: J Infect Dis Year: 2022 Document Type: Article Affiliation country: Infdis