articleJAMA Network OpenOct 20, 2020GOLD OA

Factors Associated With US Adults’ Likelihood of Accepting COVID-19 Vaccination

Cornell University · Morristown Medical Center · +3 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Importance

The development of a coronavirus disease 2019 (COVID-19) vaccine has progressed at unprecedented speed. Widespread public uptake of the vaccine is crucial to stem the pandemic.

Objective

To examine the factors associated with survey participants' self-reported likelihood of selecting and receiving a hypothetical COVID-19 vaccine. Design, Setting, and Participants: A survey study of a nonprobability convenience sample of 2000 recruited participants including a choice-based conjoint analysis was conducted to estimate respondents' probability of choosing a vaccine and willingness to receive vaccination. Participants were asked to evaluate their willingness to receive each hypothetical vaccine individually. The survey presented respondents with 5 choice tasks. In each, participants evaluated 2 hypothetical COVID-19 vaccines and were asked whether they would choose vaccine A, vaccine B, or neither vaccine. Vaccine attributes included efficacy, protection duration, major adverse effects, minor adverse effects, US Food and Drug Administration (FDA) approval process, national origin of vaccine, and endorsement. Levels of each attribute for each vaccine were randomly assigned, and attribute order was randomized across participants. Survey data were collected on July 9, 2020. Main Outcomes and Measures: Average marginal component effect sizes and marginal means were calculated to estimate the relationship between each vaccine attribute level and the probability of the respondent choosing a vaccine and self-reported willingness to receive vaccination.

Citation impact

776
total citations
FWCI
83.75
Percentile
100%
References
34
Citations per year

Authors

7

Topics & keywords

Keywords
  • Respondent
  • Medicine
  • Vaccination
  • Interquartile range
  • Coronavirus disease 2019 (COVID-19)
  • Pandemic
  • Demography
  • Environmental health
UN Sustainable Development Goals
  • Good health and well-being
No related works found for this paper.

Funding