Are countries’ precautionary actions against COVID-19 effective? An assessment study of 175 countries worldwide

  1. Thamir M. Alshammari
  2. Khalidah A. Alenzi
  3. Fatemah A. Alnofal
  4. Ghada Fradees
  5. Ali F. Altebainawi

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Abstract

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  1. Version published to 10.1016/j.jsps.2021.03.011
  2. ScreenIT

    SciScore for 10.1101/2020.07.16.20155515: (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
    For data analysis, we used used IBM SPSS Statistics for Macintosh, Version 21.0.0.0 and Tableau Desktop, Version 2020.1.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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:
    The study’s limitations include the fact that we lacked time series information (i.e., the number of infections or deaths for multiple time points) because some data were unavailable or difficult to acquire.

    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.

  3. Version published to 10.1101/2020.07.16.20155515 on medRxiv