Controlling risk of SARS-CoV-2 infection in essential workers of enclosed food manufacturing facilities

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Abstract

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  1. SciScore for 10.1101/2021.05.14.21257244: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The model was developed in R (version 4.0.3; R Development Core Team; Vienna, Austria) using the mc2d package for Monte Carlo simulations and sensitivity analyses (107).
    R Development Core
    suggested: (R Project for Statistical Computing, RRID:SCR_001905)

    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:
    Regarding limitations, the first is that at the time of this writing, there was no dose-response model specific to SARS-CoV-2. To address this, we leveraged the dose-response model for SARS and applied the upper 99.5% bound from 10,000 bootstrap iterations for the optimized k parameter. This translated into an ID50 dose of 100 infectious virus particles and falls within the documented ID50 range of 10-1000 infectious doses from animal and human studies for non-SARS-CoV and SARS (94). A second limitation was that few empirical studies have characterized respiratory particle distance traveled by size. Understanding the dynamics of infectious virus-laden respiratory particles at different distances, especially accounting for air transport dynamics within a respiratory event (11, 75), is paramount to characterizing risk and evaluating effective intervention strategies. Certainly, this is a rapidly evolving field and the model can be readily updated as new data emerge. A final limitation of this study is that virus contamination in the air, on fomite surfaces, and on hands was assumed to be homogenously distributed. Empirical studies on the distribution of respiratory particles in the air and on fomite surfaces following respiratory events are needed to further refine respiratory transmission pathway modeling. Future research might include evaluation of SARS-CoV-2 risk associated with packaging in a food supply chain (95) and in outdoor agriculture production and harvest settings;...

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.