Breath-, air- and surface-borne SARS-CoV-2 in hospitals

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Abstract

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  1. SciScore for 10.1101/2020.05.31.20115196: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The recruitment was conducted from 26 February –25 March, 2020; and the ethics involving non-invasive exhaled breath collection from patients was approved and waived due to the emergency situation by the Ethics committee of Jiangsu Provincial Center for Disease Prevention and Control
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableMale patients accounted for 60% of the 10 COVID-19 patients.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    SARS-CoV-2 detection was then performed using RT-PCR (BioRAD CFX96 Real-Time System C1000 Thermal Cycler, Hercules, California) together with a detection kit (Jiangsu Bioperfectus Technologies) except the sample D-SS-V10 (N, E and RdRP genes analyzed) under the following cycle conditions: 50°C for 10min, and 97°C for 1min, followed by 45 cycles of 97°C for 5s, and 58°C for 30s.
    BioRAD
    suggested: None

    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.
    • Thank you for including a protocol registration statement.

    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.