Coronavirus testing indicates transmission risk increases along wildlife supply chains for human consumption in Viet Nam, 2013-2014

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Abstract

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  1. SciScore for 10.1101/2020.06.05.098590: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIACUC: The study was approved by the Department of Animal Health of the Ministry of Agriculture and Rural Development and protocols were reviewed by the Institutional Animal Care and Use Committee at the University of California at Davis (protocol number 16048).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Alignments were performed using MUSCLE, and trees were constructed using Maximum likelihood and the Tamura 3-parameter model in MEGA7 [31].
    MUSCLE
    suggested: (MUSCLE, RRID:SCR_011812)
    MEGA7
    suggested: None
    Statistical analyses: Visualization of sampling locations in provinces in Viet Nam, along with the distribution by species and interface was constructed with the ggmap, ggplot2, and sp packages [34].
    ggplot2
    suggested: (ggplot2, RRID:SCR_014601)
    All analyses were done using R version 3.5.0 or higher (R Development Core Team, Vienna, Austria).
    R Development Core
    suggested: (R Project for Statistical Computing, RRID:SCR_001905)

    Results from OddPub: Thank you for sharing your code and data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    These limitations mean we are not able to make inferences about larger spatial patterns or the inter-annual variability of coronavirus prevalence in wildlife populations found in this interface, which spans into neighboring Cambodia. However, from a mechanistic perspective as animals progress along the wildlife supply chain, opportunity for human contact increases, including close direct contact with traders, butchers, cooks, and consumers [40]. The combination of increased coronavirus prevalence in traded wildlife and greater opportunity for human-wildlife contact as well as intra- and inter-species contact in trade systems is likely to increase the risk of zoonotic transmission of coronaviruses in wildlife markets, restaurants, and other trade interfaces. Viral sharing or environmental mixing: We detected avian and bat coronaviruses in wildlife farm rodents, including Malayan porcupines and bamboo rats, but we did not detect rodent-associated coronaviruses. The only previously published coronavirus testing of Malayan porcupine samples carried out in China were negative [41]. It is unclear if the Malayan porcupine samples from animals screened in this study were infected with the avian or bat viruses or if environmental contamination or mixing occurred with avian and bat guano. Chickens were present at the two sites where the IBV-positive rodents were detected, and bats fly and potentially roost overhead at most farms. ‘Artificial market’ studies of influenza A viruses have ...

    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.
    • No funding statement was detected.
    • 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.

  2. SciScore for 10.1101/2020.06.05.098590: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementThe study was approved by the Department of Animal Health of the Ministry of Agriculture and Rural Development and protocols were reviewed by the Institutional Animal Care and Use Committee at the University of California at Davis ( protocol number 16048) .Randomizationnot detected.Blindingnot detected.Power Analysisnot detected.Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Alignments were performed using MUSCLE , and trees were constructed using Maximum likelihood and the Tamura 3-parameter model in MEGA7 [ 31] .
    MUSCLE
    suggested: (MUSCLE, SCR_011812)
          <div style="margin-bottom:8px">
            <div><b>MEGA7</b></div>
            <div>suggested: None</div>
          </div>
        </td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analyses Visualization of sampling locations in provinces in Viet Nam , along with the distribution by species and interface was constructed with the ggmap , ggplot2 , and sp packages [ 34] .</td><td style="min-width:100px;border-bottom:1px solid lightgray">
          <div style="margin-bottom:8px">
            <div><b>ggplot2</b></div>
            <div>suggested: (ggplot2, <a href="https://scicrunch.org/resources/Any/search?q=SCR_014601">SCR_014601</a>)</div>
          </div>
        </td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All analyses were done using R version 3.5.0 or higher ( R Development Core Team , Vienna , Austria) .</td><td style="min-width:100px;border-bottom:1px solid lightgray">
          <div style="margin-bottom:8px">
            <div><b>R Development Core</b></div>
            <div>suggested: (R Project for Statistical Computing, <a href="https://scicrunch.org/resources/Any/search?q=SCR_001905">SCR_001905</a>)</div>
          </div>
        </td></tr></table>
    

    Results from OddPub: Thank you for sharing your code and data.


    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 is not a substitute for expert review. SciScore checks for the presence and correctness of RRIDs (research resource identifiers) in the manuscript, and detects sentences that appear to be missing RRIDs. SciScore also checks to make sure that rigor criteria are addressed by authors. It does this by detecting sentences that discuss criteria such as blinding or power analysis. SciScore does not guarantee that the rigor criteria that it detects are appropriate for the particular study. Instead it assists authors, editors, and reviewers by drawing attention to sections of the manuscript that contain or should contain various rigor criteria and key resources. For details on the results shown here, including references cited, please follow this link.