Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys.

Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys.
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DOI:
10.1136/bmjopen-2020-048025
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发表时间:
2021-08-02
期刊:
影响因子:
2.9
通讯作者:
van der Linden S
van der Linden S
中科院分区:
医学3区
文献类型:
--
作者:
Kerr JR;Schneider CR;Recchia G;Dryhurst S;Sahlin U;Dufouil C;Arwidson P;Freeman AL;van der Linden S

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描述愿意接受COVID-19疫苗的人口统计学、社会和心理相关因素。2020年3月至10月期间进行的一系列在线调查。通过在线面板提供商(n=25 334)在12个不同国家共招募了25个独立的国家样本(按年龄和性别与国家人口相匹配)。报告愿意接受COVID-19疫苗接种。报告的接种疫苗意愿在样本中差异很大,从63%到88%不等。多变量logistic回归分析显示性别(女性OR=0.59,95% CI 0.55 - 0.64),信任医学和科学专家(OR=1.28,95% CI 1.22至1.34),并担心COVID-19病毒(OR=1.47,95% CI 1.41 - 1.53),考虑到汇总数据和各国之间最一致的相关性,这是声明的疫苗接受度的最强相关性。在英国样本的一个子集中,我们表明,在控制了对疫苗接种的态度后,这些影响是稳健的。我们的研究结果表明,信任的负担在很大程度上落在科学和医学界的肩上,这对未来如何传播COVID-19疫苗接种信息以最大限度地提高接种率产生了影响。
Describe demographical, social and psychological correlates of willingness to receive a COVID-19 vaccine. Series of online surveys undertaken between March and October 2020. A total of 25 separate national samples (matched to country population by age and sex) in 12 different countries were recruited through online panel providers (n=25 334). Reported willingness to receive a COVID-19 vaccination. Reported willingness to receive a vaccine varied widely across samples, ranging from 63% to 88%. Multivariate logistic regression analyses reveal sex (female OR=0.59, 95% CI 0.55 to 0.64), trust in medical and scientific experts (OR=1.28, 95% CI 1.22 to 1.34) and worry about the COVID-19 virus (OR=1.47, 95% CI 1.41 to 1.53) as the strongest correlates of stated vaccine acceptance considering pooled data and the most consistent correlates across countries. In a subset of UK samples, we show that these effects are robust after controlling for attitudes towards vaccination in general. Our results indicate that the burden of trust largely rests on the shoulders of the scientific and medical community, with implications for how future COVID-19 vaccination information should be communicated to maximise uptake.
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