Early introductions and transmission of SARS-CoV-2 variant B.1.1.7 in the United States

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.02.10.21251540: (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

    Software and Algorithms
    SentencesResources
    The map presented in Figure 1, which shows the flight volume data per airport on flights inbound from the UK in October 2020 and overlaid onto a map of the US, was generated using R, with the maps and ggplot2 packages (Becker et al., 2018; Wickham, 2016).
    ggplot2
    suggested: (ggplot2, RRID:SCR_014601)

    Results from OddPub: Thank you for sharing your data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Our study has several important limitations. First, our travel data are limited to incoming passengers from the UK, which will miss the potential for introductions from other countries where B.1.1.7 may be circulating. We limited our analysis to the UK for flight originations as this was the only known region where B.1.1.7 was dominant at the time of our analysis. Furthermore, our analysis did not account for the likelihood of transmission among the different regions in the US. As COVID-19 cases were at or near their peak across the country, our assumption was that transmission potential was high everywhere, and that the numbers of potentially infected travelers was a more significant factor. In reality, local conditions and behaviors play an important role for B.1.1.7 establishment, and could explain why cases are low in some states. Finally, our SARS-CoV-2 genomic data suggest that domestic spread and community transmission have been established in many places across the US, but the significant undersampling that we discuss throughout this manuscript highlights that we are missing several important pieces to this story. This suggests that some of our estimated transitions and estimated timings of introductions will likely need to be revisited when more data are available. The SARS-CoV-2 B.1.1.7 variant of concern has become established in many states within the US. We must use this opportunity to reinforce communications and messaging surrounding the importance of mitigatio...

    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.