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  1. Article ; Online: 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

    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.
    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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  2. Article ; Online: The impact of real-time whole genome sequencing in controlling healthcare-associated SARS-CoV-2 outbreaks

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

    medRxiv

    Abstract: Background Nosocomial infections have posed a significant problem during the COVID-19 pandemic, affecting bed capacity and patient flow in hospitals. Effective infection control measures and identifying areas of highest risk is required to reduce the ... ...

    Abstract Background Nosocomial infections have posed a significant problem during the COVID-19 pandemic, affecting bed capacity and patient flow in hospitals. Effective infection control measures and identifying areas of highest risk is required to reduce the risk of spread to patients who are admitted with other illnesses. This is the first pandemic where whole genome sequencing (WGS) has been readily available. We demonstrate how WGS can be deployed to help identify and control outbreaks. Aims & Methods Swabs performed on patients to detect SARS-CoV-2 underwent RT-PCR on one of multiple different platforms available at Nottingham University Hospitals NHS Trust. Positive samples underwent WGS on the GridION platform using the ARTIC amplicon sequencing protocol at the University of Nottingham. Results Phylogenetic analysis from WGS and epidemiological data was used to identify an initial transmission that occurred in the admissions ward. It also showed high prevalence of asymptomatic staff infection with genetically identical viral sequences which may have contributed to the propagation of the outbreak. Actions were taken to help reduce the risk of nosocomial transmission by the introduction of rapid point of care testing in the admissions ward and introduction of portable HEPA14 filters. WGS was also used in two instances to exclude an outbreak by discerning that the phylotypes were not identical, saving time and resources. Conclusions In conjunction with accurate epidemiological data, timely WGS can identify high risk areas of nosocomial transmission, which would benefit from implementation of appropriate control measures. Conversely, WGS can disprove nosocomial transmission, validating existing control measures and maintaining clinical service, even where epidemiological data is suggestive of an outbreak.
    Keywords covid19
    Language English
    Publishing date 2021-04-17
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.04.15.21253894
    Database COVID19

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