The relation between COVID-19 vaccinations and public governance to improve preparedness of next pandemic impacts and crisis management: a global study

  1. Mario Coccia
  2. Igor Benati

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Abstract

The goal of this study is to analyze the relationship between COVID-19 vaccinations and public governance performing a global analysis of more than 110 countries worldwide. Methodology applies the Independent Samples T -Test that compares the means of two independent groups (countries with high/low level of vaccinations) to determine whether there is statistical evidence that the associated population means of indicators of public governance are significantly different. Findings suggest that high levels of governance can support a better function of health systems in the rollout of vaccinations to cope with COVID-19 pandemic crisis. This study may assist long-run policy of governments to improve good governance and health systems of countries in order to reinforce the preparedness to face next pandemic threats and in general future crisis management in society.

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  1. ScreenIT

    SciScore for 10.1101/2022.04.10.22273663: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: Thank you for sharing your 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.

    Results from scite Reference Check: We found no unreliable references.

    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 10.1101/2022.04.10.22273663v1 on medRxiv