COVID-19 real-world data for the US and lessons to reopen business

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.06.02.20120618: (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:
    Hence, getting data is critical to effective population health management throughout the COVID19 pandemic, as is the ability to test on a large scale the population that we aim to protect, an opportunity that, until recently, has been challenged by limitations in available test kits. We have observed that less than 2% of the associates of our company could be tested, in spite of our effort to encourage our associates to ask their providers for testing, a figure that is, as expected, close to that of the entire US. Data gathering like the morning health checks and testing for COVID19 are both critical to protecting re-opening companies and their employees, and making sure that the protective measures that are now recommended are actually working in protecting people at work. These measures will continue to protect our workforce and communities and hopefully at some point, will be helped by the availability of a successful drug and/or vaccine. Conclusion: The data demonstrates that, with appropriate guidelines, and with detailed data, companies like Lennar can continue to be productive, and companies that want to return to productivity, from large corporations to small businesses, could indeed control the proliferation of COVID cases. Strategies pursued by Lennar, if generalized, could minimize viral transmission, and maximize safety, health and wellness within their workforce and the communities they serve.

    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.