Evidence map›Paper›PMID 34555152›Full record

ArticleThe Journal of infectious diseases2022

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 and 4 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Transmission of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) from pre and asymptomatic infected individuals: a systematic review.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Rodric V FrancisDepartment of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Harriet BillamDepartment of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Mitch ClarkeDepartment of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Carl YatesDepartment of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Theocharis TsoleridisSchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.
Louise BerryDepartment of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Nikunj MahidaDepartment of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
William L IrvingDepartment of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Christopher MooreSchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.
Nadine HolmesSchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.
Jonathan K BallSchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.
Matthew LooseSchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.
C Patrick McClureSchool of Life Sciences, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-1710-1049
COVID-19 Genomics UK (COG-UK) consortium

Funding

Medical Research Council MC_PC_19027Medical Research Council MC_PC_20027Medical Research Council MR/R010307/1Medical Research Council MR/S009434/1National Institute for Health Research MC_PC_19027UK Research and Innovation
6 · The paper itself

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.

Indexed as

COVID-19Cross InfectionWhole Genome SequencingAsymptomatic InfectionsDelivery of Health CareDisease OutbreaksHealth PersonnelHumansPersonal Protective EquipmentPhylogenyReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2clustergenetic epidemiologyinfection controlnosocomial transmissionoutbreakSARS-CoV-2viruswhole-genome sequencing: COVID-19

Identifiers

PMID34555152
PMCPMC8522425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.