Vaccine hesitancy for COVID19: what is the role of statistical literacy?


Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 27 05 2023
accepted: 25 08 2023
medline: 26 9 2023
pubmed: 25 9 2023
entrez: 25 9 2023
Statut: epublish

Résumé

Vaccination is an important measure used to control the spread of COVID19. The estimation of risk versus benefit of vaccination is based on the understanding of information about the vaccine. Statistics are frequently part of communications about COVID19. Individuals that do not have an adequate foundation of statistical knowledge may not be able to properly assess associated risks and benefits. This study aims to assess the association between statistical literacy and hesitation to receive the COVID19 vaccine. A nationally representative sample of 2,138 adults, recruited through CINT United States, Inc., (Lawrenceville, NJ; http://www.cint.com), completed an internet survey in the summer of 2021. This survey collected demographic measures and information about COVID19 vaccination status. The competency of respondents on various basic statistical concepts was assessed along with the corresponding confidence of respondents in their answers. A multivariable logistic regression model was constructed to assess the relationship between vaccine hesitancy and statistical literacy while controlling for covariates of interest. Statistical literacy was found to have a negligible association with COVID19 vaccine hesitancy (OR 1.01; 95% CI 1.00-1.02). In addition, differences in the proportion receiving the COVID19 vaccine between political affiliations, income levels, race groups, and ethnicities were observed. The statistical knowledge of the general American public is not commensurate with the need to be literate in basic statistical concepts in the data-driven world in which we live. An effective way to stem vaccine hesitancy may rely on increased statistical knowledge to not be biased by preconceived beliefs shaped by misinformation.

Identifiants

pubmed: 37744510
doi: 10.3389/fpubh.2023.1230030
pmc: PMC10513463
doi:

Substances chimiques

COVID-19 Vaccines 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1230030

Informations de copyright

Copyright © 2023 Kahlenberg, Williams, van Tilburg and Jiroutek.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Halle Kahlenberg (H)

Department of Pharmaceutical & Clinical Sciences, College of Pharmacy & Health Sciences, Campbell University, Buies Creek, NC, United States.

Delaney Williams (D)

Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Buies Creek, NC, United States.

Miranda A L van Tilburg (MAL)

Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Buies Creek, NC, United States.
Cape Fear Valley Health, Fayetteville, NC, United States.
Marshall University, Huntington, WV, United States.

Michael R Jiroutek (MR)

Department of Pharmaceutical & Clinical Sciences, College of Pharmacy & Health Sciences, Campbell University, Buies Creek, NC, United States.

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Classifications MeSH