Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities

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Abstract

How to allocate COVID-19 vaccines is one of the most important decisions currently facing governments. With limited supplies, what is most pressing is deciding who gets priority in the vaccine allocation rollout. Some governments are exploring allowing private purchases of COVID-19 vaccines. Many countries are debating whether COVID-19 vaccines should be mandated. There is little evidence on what policies are preferred by the global public. Our survey of 15,536 adults in 13 countries confirms that priority should be given to health workers and those at high risk but also, to a broad range of key workers and those with lower incomes. The public favors allocating COVID-19 vaccines solely via government programs but was polarized in some countries on mandatory vaccinations.

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  1. SciScore for 10.1101/2021.01.31.21250866: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    RandomizationIn our conjoint experiment each of the 15,536 subjects made eight binary choices over hypothetical vaccine recipients (a total of 124,288 pair-wise comparisons) that randomly varied on five attributes: occupation, age, transmission status (risk of contracting and transmitting the virus), risk of death from COVID-19, and income.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    3 Table 1 suggests that these five attributes have played particularly important roles in the vaccine allocation policies being considered by our sample of countries. 4.1 Materials and Methods: 4.2 Supplementary Text: 4.3 Supplementary Figures and Tables:
    Methods
    suggested: None
    Tables
    suggested: (ObjTables, RRID:SCR_018652)

    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: 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.