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Psychological Medicine
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COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II

Authors: Andrew Chadwick; Stephan Lewandowsky; Felicity Waite; Cristian Vaccari; Andrew J. Pollard; Michael Larkin; Sinéad Lambe; +12 Authors

COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II

Abstract

AbstractBackgroundOur aim was to estimate provisional willingness to receive a coronavirus 2019 (COVID-19) vaccine, identify predictive socio-demographic factors, and, principally, determine potential causes in order to guide information provision.MethodsA non-probability online survey was conducted (24th September−17th October 2020) with 5,114 UK adults, quota sampled to match the population for age, gender, ethnicity, income, and region. The Oxford COVID-19 vaccine hesitancy scale assessed intent to take an approved vaccine. Structural equation modelling estimated explanatory factor relationships.Results71.7% (n=3,667) were willing to be vaccinated, 16.6% (n=849) were very unsure, and 11.7% (n=598) were strongly hesitant. An excellent model fit (RMSEA=0.05/CFI=0.97/TLI=0.97), explaining 86% of variance in hesitancy, was provided by beliefs about the collective importance, efficacy, side-effects, and speed of development of a COVID-19 vaccine. A second model, with reasonable fit (RMSEA=0.03/CFI=0.93/TLI=0.92), explaining 32% of variance, highlighted two higher-order explanatory factors: ‘excessive mistrust’ (r=0.51), including conspiracy beliefs, negative views of doctors, and need for chaos, and ‘positive healthcare experiences’ (r=−0.48), including supportive doctor interactions and good NHS care. Hesitancy was associated with younger age, female gender, lower income, and ethnicity, but socio-demographic information explained little variance (9.8%). Hesitancy was associated with lower adherence to social distancing guidelines.ConclusionsCOVID-19 vaccine hesitancy is relatively evenly spread across the population. Willingness to take a vaccine is closely bound to recognition of the collective importance. Vaccine public information that highlights prosocial benefits may be especially effective. Factors such as conspiracy beliefs that foster mistrust and erode social cohesion will lower vaccine up-take.

Country
United Kingdom
Keywords

conspiracy, Adult, /dk/atira/pure/core/keywords/tedcog, COVID-19 Vaccines, 330, Beliefs, Oceans and Seas, name=Memory, Intention, /dk/atira/pure/core/keywords/cognitive_science, Memory, /dk/atira/pure/core/keywords/tedcog; name=TeDCog, name=Cognitive Science, Humans, Applied Psychology, /dk/atira/pure/core/keywords/psyc_memory; name=Memory, COVID-19, Covid19, vaccine confidence, TeDCog, United Kingdom, Psychiatry and Mental health, /dk/atira/pure/core/keywords/uob_covid19, /dk/atira/pure/core/keywords/uob_covid19; name=Covid19, name=Covid19, Covid-19 vaccine hesitancy, Cognitive Science, /dk/atira/pure/core/keywords/cognitive_science; name=Cognitive Science, Original Article, Female, name=TeDCog, /dk/atira/pure/core/keywords/psyc_memory, mistrust

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    553
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.01%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.01%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
553
Top 0.01%
Top 1%
Top 0.01%
Green
hybrid