Willingness to Vaccinate Against COVID-19 in the U.S.: Representative Longitudinal Evidence From April to October 2020

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2020.11.27.20239970: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    RRRs and 95% CIs were estimated using the Stata version 15 (Statacorp).
    Statacorp
    suggested: None

    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:
    Limitations are our reliance on self-reported intentions and the lack of detailed assessment of factors that may explain why vaccination intentions have declined over time in the US. However, in advance of the deployment of a COVID vaccine it is necessary to rely on intention-based measures which have been shown to predict vaccination behavior27. Further, intentions are malleable and represent a target for evidence-based approaches aiming to increase the proportion of the population that are willing to vaccinate28. This now represents an urgent public health priority to minimize further loss of life due to the COVID-19 pandemic29. Finally, studies tracking vaccination attitudes including perceived health benefits and side-effects of vaccination, long-term health concerns, and the role of misinformation are now needed to provide an in-depth understanding of the drivers of changes in vaccine intentions.

    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.
    • No funding statement was detected.
    • 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.