On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: A preliminary multiphysics computational perspective

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Abstract

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  1. SciScore for 10.1101/2020.08.17.20176909: (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.

    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: We detected the following sentences addressing limitations in the study:
    Limitations: The study assumes 2D flow pattern for the ease of caluculations. This is backed by previous studies and is quite correct for the central portion of the aircraft. However, authors do recognize that there can 3D motion of air and thereby the pollutants released orally or nasally into the air (viz., CO2 and viruses such as coronavirus) can travel in the longitudinal directions (i.e., along the length of the aircraft). This is partiularly important to consider at the ends of the aircraft as the fluid flow at the ends will certainly not be 2D. The BCs were based on the data available in the public doamin or by making conservative assumptions. These may not accuratley describe the air duct positions in the studied aircrafts. As a simplifying assumption that also adds to the factor of safety of the model predictions, coronavirus was assumed to be present at places where released CO2 can be found. The released CO2 and the associated coronavirus concentration has been modeled as a continnum where as the actual coronavirus particles would be in a discrete phase. Modeling coronavirus as a discrete phase suspended in air will be prohibitively expensive with regards to the computational resources. These rankings are based on the scheme presented by the authors and the section views and BCs as available in the public domain. Many simplifying assumptions are associated with this study and the actual ranking of the seats can be different based on how many of these assumptions fa...

    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.