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Peer reviewedOpen accessSARSCOVID-19

Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study

The Lancet Infectious Diseases·

Luke W Meredith, William L Hamilton, Ben Warne, Charlotte J Houldcroft, Myra Hosmillo, Aminu S Jahun, Martin D Curran, Surendra Parmar, Laura G Caller, Sarah L Caddy, Fahad A Khokhar, Anna Yakovleva, Grant Hall, Theresa Feltwell, Sally Forrest, Sushmita Sridhar, Michael P Weekes, Stephen Baker, Nicholas Brown, Elinor Moore, Ashley Popay, Iain Roddick, Mark Reacher, Theodore Gouliouris, Sharon J Peacock, Gordon Dougan, M Estée Török, Ian Goodfellow

DOI
10.1016/s1473-3099(20)30562-4
PMID
32679081
PMCID
PMC7806511
OpenAlex
W3043177992
Study type
Genomic study
Publisher
Elsevier BV
Article type
journal-article
Integrity
current

Why this research matters now

The abstract describes rapid combined genomic and epidemiological analysis as a tool for investigating suspected health-care-associated COVID-19, detecting otherwise unrecognized transmission events, and identifying opportunities for infection-control action. The findings provide context for genomic epidemiology and outbreak investigation in hospital and community settings, without establishing effects beyond this study.

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Structured evidence summary

Research question

The study examined whether rapid SARS-CoV-2 sequencing combined with detailed epidemiological analysis could investigate health-care-associated infections and inform infection-control measures.

Study design

This was a prospective surveillance study using rapid nanopore sequencing of PCR-positive samples, with weekly review integrating genomic and epidemiological information. Samples were collected from one hospital and a random selection of hospitals in the East of England.

Population and setting

The study covered patients with COVID-19 in the East of England between March 13 and April 24, 2020. Clinical data and samples were collected from 5,613 patients; analysis of 299 patients from the study hospital identified the reported clusters.

Main findings

Of 1,000 sequenced samples, 747 produced high-quality genomes. Among patients from the study hospital, genomic and epidemiological analysis identified 35 clusters involving 159 patients; 92 had strong epidemiological links and 32 had plausible links. The results were reported to clinical, infection-control, and hospital management teams and informed infection-control interventions and patient-safety reporting.

Public-health relevance

The abstract describes rapid combined genomic and epidemiological analysis as a tool for investigating suspected health-care-associated COVID-19, detecting otherwise unrecognized transmission events, and identifying opportunities for infection-control action. The findings provide context for genomic epidemiology and outbreak investigation in hospital and community settings, without establishing effects beyond this study.

Important limitations

The supplied abstract does not state explicit study limitations. The reported evidence is limited to a single article's abstract and metadata, with observations from one UK hospital and a defined early-pandemic period; the original paper is required for decision-grade interpretation.

GIDS interpretation

This article is discoverable as evidence on SARS-CoV-2 genomic epidemiology, surveillance, and health-care-associated outbreak investigation in the United Kingdom. It provides historical study context only and does not confirm or characterize any current surveillance signal.

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Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

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Evidence relationships

This article has 17 auditable classifier relationships to diseases, places, topics, and study design.

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