Evidence map›Paper›PMID 34591920›Full record

ArticlePloS one2021

Prevalence and risk factors for SARS-CoV-2 infection and seroprevalence among clinical and non-clinical staff in a national healthcare system.

Moza Alishaq, Andrew Jeremijenko, Zeina Al-Kanaani, Hanaa Nafady-Hego, Diana H Jboor, Rosaline Saba, Jameela Al-Ajmi, Nasser Asad Alansari, Anil George Thomas, Sameera Bihi Fareh and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Socioeconomic and Demographic Risk Factors for SARS-CoV-2 Seropositivity Among Healthcare Workers in a UK Hospital: A Prospective Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Observational
  3. Article
  4. Analysis of the prevalence of anti-SARS-CoV-2 antibodies in groups of medical and non-medical professions.International journal of occupational medicine and environmental health · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. 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

15 authors at 3 institutions in 3 countries.

Moza AlishaqHamad Medical Corporation, Doha, Qatar.
Andrew JeremijenkoHamad Medical Corporation, Doha, Qatar.ORCID 0000-0002-0375-2713
Zeina Al-KanaaniHamad Medical Corporation, Doha, Qatar.
Hanaa Nafady-HegoMicrobiology and Immunology Department, Faculty of Medicine, Assiut University, Assiut, Egypt.ORCID 0000-0002-5562-0245
Diana H JboorHamad Medical Corporation, Doha, Qatar.
Rosaline SabaHamad Medical Corporation, Doha, Qatar.
Jameela Al-AjmiHamad Medical Corporation, Doha, Qatar.
Nasser Asad AlansariHamad Medical Corporation, Doha, Qatar.
Anil George ThomasHamad Medical Corporation, Doha, Qatar.
Sameera Bihi FarehHamad Medical Corporation, Doha, Qatar.
Suni VinoyHamad Medical Corporation, Doha, Qatar.
Maryam NoohHamad Medical Corporation, Doha, Qatar.
Nadya AlanziHamad Medical Corporation, Doha, Qatar.
Abdul-Badi Abou-SamraHamad Medical Corporation, Doha, Qatar.
Adeel Ajwad ButtHamad Medical Corporation, Doha, Qatar.ORCID 0000-0002-1118-1826
Hamad Medical Corporation · QACornell University · USAssiut University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile many studies have reported the rate and risk of SARS-CoV-2 infection among healthcare workers (HCWs), there are scant data regarding the impact of employment type and job grades upon such risk.

methodsWe determined the rate of SARS-CoV-2 infection based on a positive nasopharyngeal swab (NPS) PCR among employees of a large national healthcare system. Antibody testing was performed on those who agreed to provide a blood sample. Using logistic regression analysis, we determined the risk of infection (PCR+) associated with demographic characteristics, job family and job grade.

resultsWe identified 35,075 staff (30,849 full-time, 4,226 outsourced) between March 1-October 31, 2020. Among full-time employees, 78.0% had a NPS (11.8% positive). Among outsourced staff, 94.4% had a NPS (31.1% positive). Antibody testing was performed on 33.9% full-time employees (13.0% reactive), and on 39.1% of the outsourced staff (47.0% reactive). PCR-positivity was higher among outsourced staff (31.0% vs. 18.3% in non-clinical and 9.0% in clinical full-time employees) and those in the low-grade vs. mid-grade and high-grade job categories. Male sex (OR 1.88), non-clinical job family (OR 1.21), low-grade job category (OR 3.71) and being an outsourced staff (OR 2.09) were associated with a higher risk of infection.

conclusionHCWs are a diverse population with varying risk of infection. Clinical staff are at a lower risk likely due to increased awareness and infection prevention measures. Risk is higher for those in the lower socioeconomic strata. Infection is more likely to occur in non-healthcare setting than within the healthcare facilities.

Indexed as

AdultCOVID-19COVID-19 TestingFemaleHealth PersonnelHumansMaleMiddle AgedRisk FactorsSARS-CoV-2Seroepidemiologic Studies

Identifiers

PMID34591920
PMCPMC8483404
OpenAlexW3202550870

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.