Evidence map›Paper›PMID 31056437›Full record

ArticleJournal of infection and public health2020

MERS-CoV infection among healthcare workers and risk factors for death: Retrospective analysis of all laboratory-confirmed cases reported to WHO from 2012 to 2 June 2018.

Amgad A Elkholy, Rebecca Grant, Abdullah Assiri, Mohamed Elhakim, Mamunur R Malik, Maria D Van Kerkhove

Open access · goldAbstract read
In one paragraph

Article in Journal of infection and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. COVID-19 and healthcare workers: A systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Pooled it
  2. Article
  3. Article
  4. Epidemiological Characteristics of MERS-CoV Human Cases, 2012- 2025.Journal of epidemiology and global health · 2025
    Article
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  8. Review
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  13. COVID-19: The cynosure of rise of Parkinson's disease.International review of neurobiology · 2022
    Article
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  17. Observational
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  20. Make it clean, make it safe: A review on virus elimination via adsorption.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2021
    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

6 authors at 4 institutions in 4 countries.

Amgad A ElkholyInfectious Hazard Management Unit, Department of Health Emergencies, World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.
Rebecca GrantCentre for Global Health, Institut Pasteur, Paris, France; Department of Infectious Hazard Management, WHO Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
Abdullah AssiriMinistry of Health, Riyadh, Saudi Arabia.
Mohamed ElhakimInfectious Hazard Management Unit, Department of Health Emergencies, World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.
Mamunur R MalikInfectious Hazard Management Unit, Department of Health Emergencies, World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.
Maria D Van KerkhoveDepartment of Infectious Hazard Management, WHO Health Emergencies Programme, World Health Organization, Geneva, Switzerland. Electronic address: vankerkhovem@who.int.
World Health Organization Regional Office for the Eastern Mediterranean · EGInstitut Pasteur · FRMinistry of Health · SAWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundApproximately half of the reported laboratory-confirmed infections of Middle East respiratory syndrome coronavirus (MERS-CoV) have occurred in healthcare settings, and healthcare workers constitute over one third of all secondary infections. This study aimed to describe secondary cases of MERS-CoV infection among healthcare workers and to identify risk factors for death.

methodsA retrospective analysis was conducted on epidemiological data of laboratory-confirmed MERS-CoV cases reported to the World Health Organization from September 2012 to 2 June 2018. We compared all secondary cases among healthcare workers with secondary cases among non-healthcare workers. Multivariable logistic regression identified risk factors for death.

resultsOf the 2223 laboratory-confirmed MERS-CoV cases reported to WHO, 415 were healthcare workers and 1783 were non-healthcare workers. Compared with non-healthcare workers cases, healthcare workers cases were younger (P < 0.001), more likely to be female (P < 0.001), non-nationals (P < 0.001) and asymptomatic (P < 0.001), and have fewer comorbidities (P < 0.001) and higher rates of survival (P < 0.001). Year of infection (2013-2018) and having no comorbidities were independent protective factors against death among secondary healthcare workers cases.

conclusionBeing able to protect healthcare workers from high threat respiratory pathogens, such as MERS-CoV is important for being able to reduce secondary transmission of MERS-CoV in healthcare-associated outbreaks. By extension, reducing infection in healthcare workers improves continuity of care for all patients within healthcare facilities.

Indexed as

Health PersonnelMiddle East Respiratory Syndrome CoronavirusAdultCoronavirus InfectionsCross InfectionFemaleHumansInfectious Disease Transmission, Patient-to-ProfessionalLaboratoriesMaleMiddle AgedRetrospective StudiesRisk FactorsWorld Health OrganizationInfection prevention and controlMERS-CoVNosocomial infection

Identifiers

PMID31056437
PMCPMC7102841
OpenAlexW2942780387

What OpenQuestion holds

Textmetadata
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.