Evidence map›Paper›PMID 38488974›Full record

ArticleInfection2024

COVID-19 outbreak among employees of a German hospital: risk factor analysis based on a follow-up questionnaire and seroprevalence.

Jennifer Kosenkow, Juliane Ankert, Michael Baier, Miriam Kesselmeier, Mathias W Pletz

Open access · hybridAbstract read
In one paragraph

Article in Infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Jennifer KosenkowInstitute for Infectious Diseases and Infection Control and Center for Sepsis Care and Control (CSCC), Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany.
Juliane AnkertInstitute for Infectious Diseases and Infection Control and Center for Sepsis Care and Control (CSCC), Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany.ORCID http://orcid.org/0000-0001-6248-6307
Michael BaierInstitute of Medical Microbiology, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.
Miriam KesselmeierInstitute of Medical Statistics, Computer and Data Sciences, Jena University Hospital/Friedrich-Schiller-University, Jena, Germany.ORCID http://orcid.org/0000-0001-6462-2579
Mathias W PletzInstitute for Infectious Diseases and Infection Control and Center for Sepsis Care and Control (CSCC), Jena University Hospital/Friedrich-Schiller-University, Am Klinikum 1, 07747, Jena, Germany. mathias.pletz@med.uni-jena.de.ORCID http://orcid.org/0000-0001-8157-2753
Jena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Co-FriSero study describes a COVID-19 outbreak at the Friedrichroda hospital in Thuringia, Germany, with 185 beds and 404 employees, at the onset of the pandemic between March 30th, 2020, and April 13th, 2020. This study aimed to analyze potential sources of SARS-CoV-2 transmission amongst hospital employees.

methodsAfter the outbreak, a comprehensive follow-up was conducted through a questionnaire and a seroprevalence study using two different immunoassays for IgG detection and a third for discordant results.

resultsPCR screenings confirmed SARS-CoV-2 infection in 25 of 229 employees, with an additional 7 detected through serology. Statistical analysis indicated that direct patient contact, exposure to high flow ventilation in non-isolated rooms, direct contact with colleagues, shared use of recreational rooms, and carpooling were associated with an increased infection risk. Conversely, contact with family and friends, public transportation, public events, and use of locker rooms were not associated with infection. Male gender showed a lower infection likelihood, independent of age and other risk factors.

conclusionThis study highlights the role of direct patient care and internal staff interactions in the spread of SARS-CoV-2 in the hospital setting. It suggests that non-traditional transmission routes like carpooling require consideration in pandemic preparedness.

Indexed as

COVID-19SARS-CoV-2AdultDisease OutbreaksFemaleFollow-Up StudiesGermanyHospitalsHumansMaleMiddle AgedPersonnel, HospitalRisk FactorsSeroepidemiologic StudiesSurveys and QuestionnairesYoung AdultCOVID-19Health care workerNosocomial transmissionOutbreak reportSARS-CoV-2Seroepidemiologic studies

Identifiers

PMID38488974
PMCPMC11499330
OpenAlexW4392863802

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.