论文标题
在大流行的早期，美国和英国的COVID-19疫苗接受：AI生成的疫苗犹豫不决，政府的作用
COVID-19 Vaccine Acceptance in the US and UK in the Early Phase of the Pandemic: AI-Generated Vaccines Hesitancy for Minors, and the Role of Governments
论文作者
论文摘要
这项研究提出了调查结果，即公众在大流行的早期阶段愿意向Covid-19接种疫苗的意愿，并检查了可能影响基于受试者间设计的疫苗接收的因素。美国和英国的572名成年人的代表配额样本参加了在线调查。首先，评估了参与者的医疗用途趋势和初始疫苗的接受度；然后，提供了简短的小插曲来评估他们对Covid-19疫苗的态度变化。为了进行数据分析，使用了方差分析和事后成对比较。参与者比自己和老年人更不愿为孩子接种疫苗。在疫苗开发中使用人工智能（AI）不会影响疫苗的接受。明确指出疫苗的效率很高的小插曲导致疫苗接受度增加。我们的研究表明，强调针对病毒的疫苗有效性的公共政策可能导致较高的疫苗接种率。我们还讨论了公众对政府对疫苗安全的期望，并根据我们的发现提出了一系列的影响。
This study presents survey results of the public's willingness to get vaccinated against COVID-19 during an early phase of the pandemic and examines factors that could influence vaccine acceptance based on a between-subjects design. A representative quota sample of 572 adults in the US and UK participated in an online survey. First, the participants' medical use tendencies and initial vaccine acceptance were assessed; then, short vignettes were provided to evaluate their changes in attitude towards COVID-19 vaccines. For data analysis, ANOVA and post hoc pairwise comparisons were used. The participants were more reluctant to vaccinate their children than themselves and the elderly. The use of artificial intelligence (AI) in vaccine development did not influence vaccine acceptance. Vignettes that explicitly stated the high effectiveness of vaccines led to an increase in vaccine acceptance. Our study suggests public policies emphasizing the vaccine effectiveness against the virus could lead to higher vaccination rates. We also discuss the public's expectations of governments concerning vaccine safety and present a series of implications based on our findings.
