IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v27y2024i7p840-852.html
   My bibliography  Save this article

Longitudinal evaluation of COVID-19 vaccine hesitancy in the United States: analysis of the US Census Household Pulse survey

Author

Listed:
  • Christopher L. Cummings
  • Andrew S. Jin
  • Benjamin D. Trump
  • Elizaveta Pinigina
  • Maia Adley
  • Holly Jarman
  • Igor Linkov

Abstract

Addressing the challenge of vaccine hesitancy is crucial in managing public health crises like the COVID-19 pandemic. This study leverages the U.S. Census Bureau’s Household Pulse Survey to examine COVID-19 vaccine hesitancy, with a specific focus on the longitudinal tracking of vaccination beliefs and the influence of varying risk perceptions. It investigates how public attitudes towards vaccines evolve, influenced by changing perceptions of COVID-19 risk and vaccine safety. By applying Secondary Risk Theory (SRT), the research elucidates the relationship between different risk perceptions and vaccine hesitancy. We find that threat perception of COVID-19 and lack of trust in the vaccine demonstrate strong predictive value of increased vaccine hesitancy in comparison to other reasons for hesitancy such as access to vaccines, vaccine efficacy beliefs, or perceived secondary risks about vaccine side effects. Respondents with very low primary threat beliefs that COVID-19 is not a threat were 5.65 times more likely (β = 1.732) to intend not to be vaccinated in January 2021, decreasing to 2.70 times more likely to avoid vaccination (β = 0.995) in the December 2021.

Suggested Citation

  • Christopher L. Cummings & Andrew S. Jin & Benjamin D. Trump & Elizaveta Pinigina & Maia Adley & Holly Jarman & Igor Linkov, 2024. "Longitudinal evaluation of COVID-19 vaccine hesitancy in the United States: analysis of the US Census Household Pulse survey," Journal of Risk Research, Taylor & Francis Journals, vol. 27(7), pages 840-852, July.
  • Handle: RePEc:taf:jriskr:v:27:y:2024:i:7:p:840-852
    DOI: 10.1080/13669877.2024.2403377
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669877.2024.2403377
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13669877.2024.2403377?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jriskr:v:27:y:2024:i:7:p:840-852. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.