Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2020.03.25.20043828: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: No data that was only released on GISAID was used without consent from the authors (see Acknowledgements).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    A total of 24 ng of the low titer group was loaded onto a MinION R9.4.1 flow cell and sequenced for a total of 5.5 hours and generated 2.1 million reads.
    MinION
    suggested: (MinION, RRID:SCR_017985)
    The RAMPART software from the ARTIC Network was used to monitor the sequencing run to estimate the depth of coverage across the genome for each barcoded sample in both runs https://github.com/artic-network/rampart).
    RAMPART
    suggested: (Rampart, RRID:SCR_016742)
    Data and Code Availability: The SARS-CoV-2 sequences generated here can be found using the NCBI BioProject: (PRJNA614976) and GISAID (EPI_ISL_416416-416424).
    NCBI BioProject
    suggested: (NCBI BioProject, RRID:SCR_004801)

    Results from OddPub: Thank you for sharing your data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Our estimates of domestic importation risk are likely conservative despite some important limitations in our air travel analysis. Because we do not have access to current airline data, we could not exactly quantify the impact of government restrictions on international travel. In addition, even without explicit government restrictions, general social distancing and work-from-home guidelines are reducing all airline travel. We did not account for these decreases in either our international or domestic travel data. While such variations may lower our domestic risk estimates, we also did not account for the large volumes of regional automobile and rail travel, especially along the corridor that connects Massachusetts, New York, New Jersey, Pennsylvania, and Washington D.C. to Connecticut. As such, the interconnectedness and large volumes of daily travel within the U.S. indicate that domestic spread of SARS-CoV-2 has become and will likely continue to be the primary source of new infections. We argue that, though simplistic, our model demonstrates the urgent need to focus control efforts in the U.S. on preventing further domestic virus spread. In China, local outbreak dynamics were highly correlated with travel between Wuhan and the outbreak dynamics therein during the early months of the epidemic (Kraemer et al., 2020). Similarly, if interstate introductions are not curtailed in the U.S. with improved surveillance measures, more robust diagnostic capabilities, and proper clinica...

    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.