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

• 발행기관: 한국자료분석학회
• 저자명: Gabriel Lima Meeyoung Cha Chiyoung Cha Hyeyoung Hwang
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.23 No.3, 1043~1062쪽, 전체 20쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2021.06.30

영문 초록

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.

목차

1. Introduction

2. Background

3. Methods

4. Results

5. Discussion

6. Conclusion

References

키워드

vaccination vaccine hesitancy vaccine acceptance artificial intelligence COVID-19.