Evidence map›Paper›PMID 33729154›Full record

ArticleeLife2021

Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission.

Jamie M Ellingford, Ryan George, John H McDermott, Shazaad Ahmad, Jonathan J Edgerley, David Gokhale, William G Newman, Stephen Ball, Nicholas Machin, Graeme Cm Black

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

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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

10 authors.

Jamie M EllingfordManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.ORCID 0000-0003-1137-9768
Ryan GeorgeDepartment of Infection Prevention & Control, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
John H McDermottManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Shazaad AhmadDepartment of Virology, Manchester Medical Microbiology Partnership, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom.
Jonathan J EdgerleyManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
David GokhaleManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
William G NewmanManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Stephen BallDivision of Diabetes, Endocrinology & Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, United Kingdom.
Nicholas MachinDepartment of Virology, Manchester Medical Microbiology Partnership, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom.
Graeme Cm BlackManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.

Funding

Manchester NIHR Biomedical Research Centre IS-BRC-1215-20007
6 · The paper itself

Abstract

Understanding the effectiveness of infection control methods in reducing and preventing SARS-CoV-2 transmission in healthcare settings is of high importance. We sequenced SARS-CoV-2 genomes for patients and healthcare workers (HCWs) across multiple geographically distinct UK hospitals, obtaining 173 high-quality SARS-CoV-2 genomes. We integrated patient movement and staff location data into the analysis of viral genome data to understand spatial and temporal dynamics of SARS-CoV-2 transmission. We identified eight patient contact clusters (PCC) with significantly increased similarity in genomic variants compared to non-clustered samples. Incorporation of HCW location further increased the number of individuals within PCCs and identified additional links in SARS-CoV-2 transmission pathways. Patients within PCCs carried viruses more genetically identical to HCWs in the same ward location. SARS-CoV-2 genome sequencing integrated with patient and HCW movement data increases identification of outbreak clusters. This dynamic approach can support infection control management strategies within the healthcare setting.

Indexed as

AgedContact TracingCOVID-19Cross InfectionFemaleHealth PersonnelHumansInfectious Disease Transmission, Patient-to-ProfessionalInfectious Disease Transmission, Professional-to-PatientMaleSARS-CoV-2Whole Genome Sequencinggeneticsgenomegenomicshealthcare-associatedhealthcare workerhumaninfectious diseasemicrobiologynosocomialSARS-CoV-2sequencingvirus

Identifiers

PMID33729154
PMCPMC8009659

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.