Evidence map›Paper›PMID 39385221›Full record

ArticleBMC public health2024

Predictors of seropositivity to SARS-CoV-2 among employees at a large urban medical center.

Deborah Kupferwasser, Evelyn A Flores, Prudencio Merino, Donna Phan Tran, Honghu Liu, Yilan Huang, Michael Bolaris, Megan H Nguyen, Mildred Gonzales, Wellington Da Silva and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Deborah KupferwasserDivision of Infectious Diseases, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA. dkupferwasser@lundquist.org.
Evelyn A FloresDivision of Infectious Diseases, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Prudencio MerinoDivision of Infectious Diseases, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Donna Phan TranDivision of Infectious Diseases, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Honghu LiuSection of Public and Population Health, University of California, Los Angeles, Los Angeles, CA, USA.
Yilan HuangSection of Public and Population Health, University of California, Los Angeles, Los Angeles, CA, USA.
Michael BolarisDivision of Infectious Diseases, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Megan H NguyenSchool of Pharmacy & Pharmaceutical Sciences, University of California, Irvine, CA, USA.
Mildred GonzalesLos Angeles County College of Nursing and Allied Health, Los Angeles, CA, USA.
Wellington Da SilvaLos Angeles County + USC Medical Center, Los Angeles, CA, USA.
Leslie Astorga-CookLos Angeles County + USC Medical Center, Los Angeles, CA, USA.
Angel AbuegDivision of Infectious Diseases, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Holli MasonDivision of Infectious Diseases, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Loren G MillerDivision of Infectious Diseases, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.

Funding

Training CoreTL1DK132768 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2021 to 2026
$3.4M
Merck 18CR-22614-01NIDDK NIH HHS TL1 DK132768
6 · The paper itself

Abstract

backgroundBefore SARS-CoV-2 vaccination availability, medical center employees were at high risk of COVID-19. However, risk factors for SARS-CoV-2 infection in medical center employees, both healthcare and non-healthcare workers, are poorly understood.

methodsFrom September-December 2020, free IgG antibody testing was offered to all employees at a large urban medical center. Participants were asked to complete a questionnaire on work and non-work related risk factors for COVID-19 infection.

resultsSARS-CoV-2 seropositivity was found in 4.7%. Seropositivity was associated with close contact with COVID-19 cases with or without the use of adequate personal protective equipment (PPE), (OR 3.1 [95% CI 1.4-6.9] and OR 4.7 [95% CI 2.0-11.0] respectively), never wearing a mask outside of work (OR 10.1 [95% CI 1.9-57]), and Native Hawaiian/Pacific Islander race (OR 6.3 95% CI (1.6-25)].

conclusionsAmong workers in a large urban medical center, SARS-CoV-2 seropositivity was associated with work-related COVID-19 close contacts and low mask use outside of work, suggesting that non-workplace close contacts are also relevant routes of COVID-19 spread among healthcare workers.

Indexed as

COVID-19SARS-CoV-2AdultAntibodies, ViralFemaleHealth PersonnelHumansMaleMiddle AgedPersonal Protective EquipmentRisk FactorsSeroepidemiologic StudiesSurveys and QuestionnairesYoung AdultAntibodies, ViralHealth system workforceSARS-CoV-2Seropositivity

Identifiers

PMID39385221
PMCPMC11462861

What OpenQuestion holds

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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.