Evidence map›Paper›PMID 38098828›Full record

ArticleFrontiers in public health2023

The impact of SARS-CoV-2 on healthcare workers of a large University Hospital in the Veneto Region: risk of infection and clinical presentation in relation to different pandemic phases and some relevant determinants.

Filippo Liviero, Anna Volpin, Patrizia Furlan, Monica Battistella, Alessia Broggio, Laura Fabris, Francesco Favretto, Paola Mason, Silvia Cocchio, Claudia Cozzolino and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. 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

13 authors at 1 institution in 1 country.

Filippo LivieroDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Anna VolpinDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Patrizia FurlanDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Monica BattistellaDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Alessia BroggioDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Laura FabrisDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Francesco FavrettoDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Paola MasonDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Silvia CocchioDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Claudia CozzolinoDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Vincenzo BaldoDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Angelo MorettoDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
Maria Luisa ScapellatoDepartment of Cardiac, Thoracic, and Vascular Sciences and Public Health, University of Padova, Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The aim of this study is to evaluate the incidence of SARS-CoV-2 infection and the prevalence of COVID-19-related symptoms in relation to pandemic phases and some relevant variables in a cohort of 8,029 HCWs from one of the largest Italian University Hospitals. Methods: A single-center retrospective study was performed on data collected during SARS-CoV-2 infection surveillance of HCWs. Cox's multiple regression was performed to estimate hazard ratios of SARS-CoV-2 infection. Logistic multivariate regression was used to assess the risk of asymptomatic infections and the onset of the most frequent symptoms. All analyses were adjusted for sociodemographic and occupational factors, pandemic phases, vaccination status, and previous infections. Results: A total of 3,760 HCWs resulted positive (2.0%-18.6% across five study phases). The total incidence rate of SARS-CoV-2 infection was 7.31 cases per 10,000 person-days, significantly lower in phase 1 and higher in phases 4 and 5, compared to phase 3. Younger HCWs, healthcare personnel, and unvaccinated subjects showed a higher risk of infection. Overall, 24.5% were asymptomatic infections, with a higher probability for men, physicians, and HCWs tested for screening, fully vaccinated, and those with previous infection. The clinical presentation changed over the phases in relation to vaccination status and the emergence of new variants. Conclusion: The screening activities of HCWs allowed for the early detection of asymptomatic cases, limiting the epidemic clusters inside the hospital wards. SARS-CoV-2 vaccination reduced infections and symptomatic cases, demonstrating again its paramount value as a preventive tool for occupational and public health.

Indexed as

COVID-19SARS-CoV-2Asymptomatic InfectionsCOVID-19 VaccinesHealth PersonnelHospitals, UniversityHumansMalePandemicsRetrospective StudiesCOVID-19 Vaccinesasymptomatic infectionbiological riskcontact tracingCOVID-19healthcare personnelhealth protection measuresSARS-CoV-2 variantsvaccines

Identifiers

PMID38098828
PMCPMC10720910
OpenAlexW4389245435

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.