Enumerating asymptomatic COVID-19 cases and estimating SARS-CoV-2 fecal shedding rates via wastewater-based epidemiology

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Abstract

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  1. SciScore for 10.1101/2021.04.16.21255638: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: To ensure compliance with the Human Subjects Protection Program (HSPP), the use of clinical data was reviewed and approved by a UArizona Institutional Review Board (IRB). 2.4.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    To ensure compliance with the Human Subjects Protection Program (HSPP), the use of clinical data was reviewed and approved by a UArizona Institutional Review Board (IRB). 2.4.
    Human Subjects Protection Program
    suggested: None
    Statistical Analysis: Statistical analyses were performed in Microsoft Excel (version 16.47.1, 2021) and R studio (R Studio Team (2020).
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    . RStudio: Integrated Development for R. RStudio, PBC, Boston, MA. http://www.rstudio.com/).
    http://www.rstudio.com/
    suggested: (RStudio, RRID:SCR_000432)

    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.