A sensitive, simple, and low-cost method for COVID-19 wastewater surveillance at an institutional level

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.12.01.20238006: (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:
    Although there are advantages with using the Moore swab method, the method also has several limitations. First, this method only provides results on the presence or absence of cases so the quantitative assessment work will be limited. Second, each Moore swab sample requires two trips: placing and retrieving a swab while grab sampling only requires one trip. Third, the Moore swab method has not been standardized in terms of sampling frequency, duration of immersion, and swab processing procedure. Lastly, because this study is a prove of concept, consistent positive results were not achieved in few times when there were confirmed cases in the buildings. This might reflect swab sample processing variability, different RNA extraction methods, laboratory protocol changes, and other unknown factors, which may not represent the true situation.

    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.