Prospective surveillance study in a 1,400‐bed university hospital: COVID‐19 exposure at home was the main risk factor for SARS‐CoV‐2 point seroprevalence among hospital staff

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Abstract

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  1. SciScore for 10.1101/2020.09.29.20203737: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study protocol was approved by the local ethics committee of the Friedrich-Schiller-University Jena (approval no. 2020-1774) and the study was registered at the German Clinical Trials Register (DRKS00022432).
    Consent: Employees were included if they signed a written informed consent form, answered a questionnaire (see below) and agreed on providing a blood sample (not exceeding 9 ml of venous blood).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    SARS-CoV-2 antibody testing: Presence of SARS CoV-2 antibodies was investigated by two different commercially available IgG detecting immunoassays: an enzyme-linked immunosorbent assay EDI Novel Coronavirus SARS-CoV-2 IgG ELISA (Epitope Diagnostics Inc., San Diego, USA) and a chemiluminescence-based immunoassay Elecsys Anti-SARS-CoV-2 (Roche, Basel, Switzerland).
    Anti-SARS-CoV-2
    suggested: None
    Software and Algorithms
    SentencesResources
    Clopper-Pearson CIs were calculated with Microsoft Excel 2016.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    All other analyses were done with SPSS Statistics version 25.0 for Windows (IBM Corp., Armonk, NY, USA).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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: We detected the following sentences addressing limitations in the study:
    This study has the following limitations: Despite the high number of participants, the recruitment rate was below 10% of the total JUH staff and results of previous COVID-19 testing and compliance using PPE were only recorded by self-reports. We determined antibody titres repeatedly only in those with discrepant results. As SARS-CoV-2 infection generates two waves of antibodies, the provided data do not reflect long-lived immunity [34].

    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.