Efficacy Assessment of Newly-designed Filtering Facemasks during the SARS-CoV-2 Pandemic

  1. Bob Boogaard
  2. Ali Tas
  3. Joep Nijssen
  4. Freek Broeren
  5. John van den Dobbelsteen
  6. Vincent Verhoeven
  7. Jip Pluim
  8. Sing Dekker
  9. Eric J. Snijder
  10. Martijn J. van Hemert
  11. Sander Herfst

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Abstract

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  1. ScreenIT

    SciScore for 10.1101/2020.09.04.20188185: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    8 × 105 17CL1 cells, derived from mouse (Mus musculus) BALB/c fibroblasts, were seeded in six-wells plates and incubated overnight at 37ºC.
    17CL1
    suggested: RRID:CVCL_VT75)
    Experimental Models: Organisms/Strains
    SentencesResources
    8 × 105 17CL1 cells, derived from mouse (Mus musculus) BALB/c fibroblasts, were seeded in six-wells plates and incubated overnight at 37ºC.
    BALB/c
    suggested: None
    Software and Algorithms
    SentencesResources
    The number of particles that passed through the filter material was analysed with TSI FitPro+ software.
    TSI FitPro+
    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.
    • 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.

  2. Version published to 10.4209/aaqr.2020.07.0424
  3. Version published to 10.1101/2020.09.04.20188185v1 on medRxiv