Modeling SARS-CoV-2 RNA degradation in small and large sewersheds

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Abstract

Hydrological model demonstrated a reduction in wastewater travel time by more than 60% when using a novel metric for placement of upstream samplers within a large sewershed, thus reducing SARS-CoV-2 viral RNA degradation.

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  1. SciScore for 10.1101/2021.09.17.21263708: (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
    Lastly, the computed travel times for the entire model network were then exported into GIS for further analysis. 2.4. Identifying Decay Rate Studies: A literature search was conducted in October 2020 and again in February 2021 using Web of Science and Google Scholar databases to identify studies with first-order degradation rates for SARS-CoV-2 RNA.
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    Samples were then read on a QX200 Droplet Reader (Bio-Rad) and analyzed using the QuantaSoft v1.7.4 software.
    QuantaSoft
    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.

    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.