Evidence map›Paper›PMID 36467294›Full record

ArticleOpen forum infectious diseases2022

Genomic Investigation to Identify Sources of Severe Acute Respiratory Syndrome Coronavirus 2 Infection Among Healthcare Personnel in an Acute Care Hospital.

Sarah E Sansom, Hannah Barbian, Mary K Hayden, Christine Fukuda, Nicholas M Moore, Lahari Thotapalli, Elias J Baied, Do Young Kim, Evan Snitkin, Michael Y Lin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

11 authors at 2 institutions in 1 country.

Sarah E SansomDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
Hannah BarbianDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
Mary K HaydenDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
Christine FukudaDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
Nicholas M MooreDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
Lahari ThotapalliDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
Elias J BaiedDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
Do Young KimDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-5581-9473
Evan SnitkinDepartment of Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Michael Y LinDepartment of Internal Medicine, Division of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA.
CDC Prevention Epicenter Program
Rush University Medical Center · USUniversity of Michigan · US

Funding

NCEZID CDC HHS U54 CK000481NCEZID CDC HHS U54 CK000607
6 · The paper itself

Abstract

Background: Identifying the source of healthcare personnel (HCP) coronavirus disease 2019 (COVID-19) is important to guide occupational safety efforts. We used a combined whole genome sequencing (WGS) and epidemiologic approach to investigate the source of HCP COVID-19 at a tertiary-care center early in the COVID-19 pandemic. Methods: Remnant nasopharyngeal swab samples from HCP and patients with polymerase chain reaction-proven COVID-19 from a period with complete sample retention (14 March 2020 to 10 April 2020) at Rush University Medical Center in Chicago, Illinois, underwent viral RNA extraction and WGS. Genomes with >90% coverage underwent cluster detection using a 2 single-nucleotide variant genetic distance cutoff. Genomic clusters were evaluated for epidemiologic linkages, with strong linkages defined by evidence of time/location overlap. Results: We analyzed 1031 sequences, identifying 49 clusters that included ≥1 HCP (265 patients, 115 HCP). Most HCP infections were not healthcare associated (88/115 [76.5%]). We did not identify any strong epidemiologic linkages for patient-to-HCP transmission. Thirteen HCP cases (11.3%) were attributed to a potential patient source (weak evidence involving nonclinical staff that lacked location data to prove or disprove contact with patients in same cluster). Fourteen HCP cases (12.2%) were attributed to HCP source (11 with strong evidence). Conclusions: Using genomic and epidemiologic data, we found that most HCP severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections were not healthcare associated. We did not find strong evidence of patient-to-HCP transmission of SARS-CoV-2.

Indexed as

acute care hospitalCOVID-19healthcare personnelSARS-CoV-2whole genome sequencing

Identifiers

PMID36467294
PMCPMC9709631
OpenAlexW4307889593

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.