Severe acute respiratory coronavirus virus 2 (SARS-CoV-2) screening among symptom-free healthcare workers

  1. Ryan T. Demmer
  2. Angela K. Ulrich
  3. Talia D. Wiggen
  4. Ali Strickland
  5. Brianna M. Naumchik
  6. Shalini Kulasingam
  7. Steven D. Stovitz
  8. Clarisse Marotz
  9. Pedro Belda-Ferre
  10. Greg Humphrey
  11. Peter De Hoff
  12. Louise Laurent
  13. Susan Kline
  14. Rob Knight

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Abstract

Transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is possible among symptom-free individuals. Patients are avoiding medically necessary healthcare visits for fear of becoming infected in the healthcare setting. We screened 489 symptom-free healthcare workers for SARS-CoV-2 and found no positive results, strongly suggesting that the prevalence of SARS-CoV-2 was <1%.

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  1. Version published to 10.1017/ice.2021.81
  2. ScreenIT

    SciScore for 10.1101/2020.07.31.20166066: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the University of Minnesota Institutional Review Board.
    Consent: All participants provided informed consent.
    Randomizationnot detected.
    Blindingnot detected.
    Power AnalysisWe had >95% power to detect at least one positive test if the true underlying prevalence of SARS-CoV2 was ≥1%.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.07.31.20166066v7 on medRxiv
  4. Version published to 10.1101/2020.07.31.20166066v6 on medRxiv
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  6. Version published to 10.1101/2020.07.31.20166066v4 on medRxiv
  7. Version published to 10.1101/2020.07.31.20166066v3 on medRxiv
  8. Version published to 10.1101/2020.07.31.20166066v1 on medRxiv
  9. Version published to 10.1101/2020.07.31.20166066v2 on medRxiv