Evidence map›Paper›PMID 38130169›Full record

ArticleInfection control and hospital epidemiology2024

The utility of whole-genome sequencing to inform epidemiologic investigations of SARS-CoV-2 clusters in acute-care hospitals.

Theodore S Rader, Vatsala R Srinivasa, Marissa P Griffith, Kady Waggle, Lora Pless, Ashley Chung, Suzanne Wagester, Lee H Harrison, Graham M Snyder

Open access · hybridAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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  6. Longitudinal surveillance and transmission ofAntimicrobial stewardship & healthcare epidemiology : ASHE · 2025
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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

9 authors at 1 institution in 1 country.

Theodore S RaderDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0002-1011-8817
Vatsala R SrinivasaDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0001-7376-8764
Marissa P GriffithDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Kady WaggleDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Lora PlessDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0003-0163-3689
Ashley ChungWolff Center, UPMC, Pittsburgh, Pennsylvania.
Suzanne WagesterWolff Center, UPMC, Pittsburgh, Pennsylvania.
Lee H HarrisonDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Graham M SnyderDivision of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0001-5562-8880
University of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the utility of selective reactive whole-genome sequencing (WGS) in aiding healthcare-associated cluster investigations.

designMixed-methods quality-improvement study.

settingThes study was conducted across 8 acute-care facilities in an integrated health system.

methodsWe analyzed healthcare-associated coronavirus disease 2019 (COVID-19) clusters between May 2020 and July 2022 for which facility infection prevention and control (IPC) teams selectively requested reactive WGS to aid the epidemiologic investigation. WGS was performed with real-time results provided to IPC teams, including genetic relatedness of sequenced isolates. We conducted structured interviews with IPC teams on the informativeness of WGS for transmission investigation and prevention.

resultsIn total, 8 IPC teams requested WGS to aid the investigation of 17 COVID-19 clusters comprising 226 cases and 116 (51%) sequenced isolates. Of these, 16 (94%) clusters had at least 1 WGS-defined transmission event. IPC teams hypothesized transmission pathways in 14 (82%) of 17 clusters and used data visualizations to characterize these pathways in 11 clusters (65%). The teams reported that in 15 clusters (88%), WGS identified a transmission pathway; the WGS-defined pathway was not one that was predicted by epidemiologic investigation in 7 clusters (41%). WGS changed the understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in 8 clusters (47%) and altered infection prevention interventions in 8 clusters (47%).

conclusionsSelectively utilizing reactive WGS helped identify cryptic SARS-CoV-2 transmission pathways and frequently changed the understanding and response to SARS-CoV-2 outbreaks. Until WGS is widely adopted, a selective reactive WGS approach may be highly impactful in response to healthcare-associated cluster investigations.

Indexed as

COVID-19SARS-CoV-2Disease OutbreaksHospitalsHumansWhole Genome Sequencing

Identifiers

PMID38130169
PMCPMC10877536
OpenAlexW4390108821

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.