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

Rodric V. Francis, Harriet Billam, Mitch Clarke, Carl Yates, Theocharis Tsoleridis, Louise Berry, Nikunj Mahida, William L. Irving, Christopher Moore, Nadine Holmes, Jonathan Ball, Matthew Loose, C. Patrick McClure

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)10-18
Number of pages9
JournalJournal of Infectious Disease
Volume225
Issue number1
DOIs
Publication statusPublished - 1 Jan 2022
Externally publishedYes

Keywords

  • cluster
  • genetic epidemiology
  • infection control
  • nosocomial transmission
  • outbreak
  • SARS-CoV-2
  • virus
  • whole-genome sequencing: COVID-19

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