Covid19data.website

  1. Dhafer Malouche

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Abstract

Covid19data.website Project is a website that contains more than 250 Dashboards about the COVID-19 Toll areas affected by the virus. You can follow-up every day using this website the number of COVID-19 cases, deaths, active cases, the shares by 1 Million population, the mortality rate, the active rate in every country, continent, and territory and all States in the United States. Unlike the other websites, you can also follow-up an estimation of the reproduction number in the previous sixteen days. These statistics tell you how many secondary infections are likely to occur in a specific area.

Furthermore, I provide a classification algorithm of the countries and the affected areas. It’s based on the observation during the previous 14 days of six criteria. A global score is then computed, allowing to evaluate the COVID-19 safeness toll of each area.

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  1. ScreenIT

    SciScore for 10.1101/2020.08.14.20174995: (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: Thank you for sharing your code and data.

    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.

    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. Version published to 10.1101/2020.08.14.20174995v1 on medRxiv