Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 389

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

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

Open access
Meredith, Luke W, Hamilton, William L, Warne, Ben, Houldcroft, Charlotte J, Hosmillo, Myra, Jahun, Aminu S, Curran, Martin D, Parmar, Surendra, Caller, Laura G, Caddy, Sarah L, Khokhar, Fahad A, Yakovleva, Anna, Hall, Grant, Feltwell, Theresa, Forrest, Sally, Sridhar, Sushmita, Weekes, Michael P, Baker, Stephen, Brown, Nicholas, Moore, Elinor, Popay, Ashley, Roddick, Iain, Reacher, Mark, Gouliouris, Theodore, Peacock, Sharon J, Dougan, Gordon, Török, M Estée, Goodfellow, Ian·2020·The Lancet Infectious Diseases

Abstract

BACKGROUND: The burden and influence of health-care associated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is unknown. We aimed to examine the use of rapid SARS-CoV-2 sequencing combined with detailed epidemiological analysis to investigate health-care associated SARS-CoV-2 infections and inform infection control measures. METHODS: In this prospective surveillance study, we set up rapid SARS-CoV-2 nanopore sequencing from PCR-positive diagnostic samples collected from our hospital (Cambridge, UK) and a random selection from hospitals in the East of England, enabling sample-to-sequence in less than 24 h. We established a weekly review and reporting system with integration of genomic and epidemiological data to investigate suspected health-care associated COVID-19 cases. FINDINGS: Between March 13 and April 24, 2020, we collected clinical data and samples from 5613 patients with COVID-19 from across the East of England. We sequenced 1000 samples producing 747 high-quality genomes. We combined epidemiological and genomic analysis of the 299 patients from our hospital and identified 35 clusters of identical viruses involving 159 patients. 92 (58%) of 159 patients had strong epidemiological links and 32 (20%) patients had plausible epidemiological links. These results were fed back to clinical, infection control, and hospital management teams, leading to infection-control interventions and informing patient safety reporting. INTERPRETATION: We established real-time genomic surveillance of SARS-CoV-2 in a UK hospital and showed the benefit of combined genomic and epidemiological analysis for the investigation of health-care associated COVID-19. This approach enabled us to detect cryptic transmission events and identify opportunities to target infection-control interventions to further reduce health-care associated infections. Our findings have important implications for national public health policy as they enable rapid tracking and investigation of infections in hospital and community settings. FUNDING: COVID-19 Genomics UK funded by the Department of Health and Social Care, UK Research and Innovation, and the Wellcome Sanger Institute.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s1473-3099(20)30562-4

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 30 references

Cited by

See all 389

Metadata

Authors
Meredith, L. W., Hamilton, W. L., Warne, B., Houldcroft, C. J., Hosmillo, M., Jahun, A. S., Curran, M. D., Parmar, S., Caller, L. G., Caddy, S. L., Khokhar, F. A., Yakovleva, A., Hall, G., Feltwell, T., Forrest, S., Sridhar, S., Weekes, M. P., Baker, S., Brown, N., Moore, E., Popay, A., Roddick, I., Reacher, M., Gouliouris, T., Peacock, S. J., Dougan, G., Török, M. E., & Goodfellow, I.
Venue
The Lancet Infectious Diseases
Publisher
Elsevier BV
Published
2020-11
Volume
20
Issue
11
Pages
1263-1271
ISSN
1473-3099 (ISSN-L)
OpenAlex
W3043177992
Cited by
389
References
30
FWCI
10.17
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study. https://app.cochat.ai/papers/10.1016/s1473-3099(20)30562-4
The paper
Meredith, L. W., Hamilton, W. L., Warne, B., Houldcroft, C. J., Hosmillo, M., Jahun, A. S., Curran, M. D., Parmar, S., Caller, L. G., Caddy, S. L., Khokhar, F. A., Yakovleva, A., Hall, G., Feltwell, T., Forrest, S., Sridhar, S., Weekes, M. P., Baker, S., Brown, N., . . . Goodfellow, I. (2020). 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. https://doi.org/10.1016/s1473-3099(20)30562-4

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.