Interest in COVID-19 vaccine trials participation among young adults in China: Willingness, reasons for hesitancy, and demographic and psychosocial determinants

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Abstract

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  1. SciScore for 10.1101/2020.07.13.20152678: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Participants were asked to read through and indicate their eligibility and consent before starting the survey.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableThe majority were female (69.77%).

    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:
    Study limitations include (1) lack of assessment on other factors that may contribute to participation willingness (e.g., monetary compensation, medical care provision, and vaccine administration mode); (2) cross-sectional research precluding causal inferences; (3) limited generalizability given the focus on young adults; and (4) bias due to self-report (e.g., social desirability). Study findings have implications for COVID-19 vaccine research and uptake. Rapid vaccine development has been called for, yet the high stakes and public interests involved in COVID-19 vaccine also require high standards of scientific and ethical practice. This include adequate ethical supervision, providing potential participants accurate, transparent, and accessible information about their rights, and risks and benefits associated with participation, and efforts to ensure recruitment free of coercion, socioeconomic inequality, and stigma. Public health efforts to reduce COVID-19 stigma, enhance transparency and public trust, and adequately protect marginalized communities may be critical to COVID-19 vaccine development and successful immunization implementation in the future.

    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.