Evidence map›Paper›PMID 40625135›Full record

ArticleCentral European journal of public health2025

COVID-19 as the occupational disease in employees of the University Hospital Ostrava.

Silvie Ostřížková, Daniela Vybíralová, Zdeňka Hajduková, Pavlína Kuchařová, Terezie Lichovníková, Renata Zlotkowska, Hana Tomášková

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Article in Central European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Silvie OstřížkováDepartment of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Daniela VybíralováDepartment of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Zdeňka HajdukováDepartment of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Pavlína KuchařováDepartment of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Terezie LichovníkováDepartment of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Renata ZlotkowskaDepartment of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Hana TomáškováDepartment of Epidemiology and Public Health, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCOVID-19 disease, which has caused a global pandemic, poses significant threat to the healthcare system as healthcare workers (HCW) are at an elevated risk of contracting the disease and being temporarily removed from their regular duties. This study analyses and evaluates a cohort of employees at the University Hospital Ostrava (UHO) who applied for the recognition of COVID-19 as an occupational disease.

methodsThe disease characteristics and risk factors for severe cases of COVID-19 were analysed for all 474 claimants who applied for recognition of an occupational disease during the reporting period (March 2020 to November 2022) and were obtained from medical records. Statistical evaluation was performed using Fisher's exact test, Pearson's chi-square test and logistic regression analysis.

resultsThe largest number of diseases was objectified in the period from September to November 2020. The most frequently reported symptoms were subfebrilia or febrilia (81.4%), olfactory dysfunction (75.1%), and dry cough (74.3%). A severe course of COVID-19 was experienced by 15.4% of the cohort. Additionally, 76.8% reported having at least one chronic disease. The risk of severe course was found to increase with the number of chronic diseases (p = 0.017). Individuals with chronic respiratory disease (CRD) had a 2.75-fold increased risk, and women had an approximately threefold increased risk. Higher risk was also associated with increasing age.

conclusionsHealthcare workers face a heightened risk of severe COVID-19, particularly among those with CRD, women and older age. Identifying these risk factors underscores the need for targeted preventive measures and early interventions to protect this vulnerable group and reduce the incidence of severe outcomes.

Indexed as

COVID-19Health PersonnelHospitals, UniversityOccupational DiseasesAdultFemaleHumansMaleMiddle AgedRisk FactorsSARS-CoV-2COVID-19healthcare workersoccupational diseaseoccupational riskspandemicsSARS-CoV-2

Identifiers

PMID40625135

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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.