Associations of race/ethnicity and socioeconomic factors with vaccination among US adults during the COVID-19 pandemic, January to March 2021

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.02.16.21251769: (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
    All analyses were conducted using SAS (version 9.4; SAS Institute).
    SAS Institute
    suggested: (Statistical Analysis System, RRID:SCR_008567)

    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 its cross-sectional and observational design, which cannot rule out bias due to confounding. While sampling weights and raking accounted for non-response and undercoverage, the low survey response rate could have led to selection bias. Last, all measures were based on self-report, and could be subject to biases such as related to social desirability of reporting vaccination. Although the levels of vaccine initiation appeared to be higher based on this survey compared to the levels in the CDC analysis, this might be attributed in part to selection bias or social desirability bias and/or the 4 additional days covered in the HPS administration period. In spite of the inherent limitations of this study, its core findings still underscore major inequities in vaccine initiation and/or planned vaccination by race/ethnicity, socioeconomic position, as well as financial hardship during the pandemic. This study further heeds recent calls for more comprehensive race and ethnicity data to identify and respond to racial/ethnic disparities in COVID-19 vaccination.1,2 In the ensuing months of the pandemic, addressing such racial/ethnic and socioeconomic inequities in vaccination due to differential access and vaccine hesitancy will be critical to mitigate the pandemic’s disproportionately higher risks for infection and adverse health outcomes in Black non-Hispanics and socioeconomically disadvantaged groups and to help maximize vaccination coverage nationwide.1,5 I...

    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.