Individual factors influencing COVID-19 vaccine acceptance in between and during pandemic waves (July-December 2020)

被引:32
作者
Valckx, Sara [1 ]
Crevecoeur, Jonas [2 ,4 ]
Verelst, Frederik [3 ]
Vranckx, Maren [4 ]
Hendrickx, Greet [1 ]
Hens, Niel [3 ,4 ]
Van Damme, Pierre [1 ]
Pepermans, Koen [5 ]
Beutels, Philippe [3 ]
Neyens, Thomas [2 ,4 ]
机构
[1] Univ Antwerp, Fac Med & Hlth Sci, Ctr Evaluat Vaccinat, VAXINFECTIO, B-2000 Antwerp, Belgium
[2] Katholieke Univ Leuven, Leuven Biostat & Stat Bioinformat Ctr L BioStat, Fac Med, Kapucijnenvoer 35,Bldg D,Box 7001, B-3000 Leuven, Belgium
[3] Univ Antwerp, Fac Med & Hlth Sci, Ctr Hlth Econ Res & Modelling Infect Dis, VAXINFECTIO, B-2000 Antwerp, Belgium
[4] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Data Sci Inst, Martelarenlaan 42, B-3500 Hasselt, Belgium
[5] Univ Antwerp, Fac Social Sci, Sint Jacobstr 2, B-2000 Antwerp, Belgium
基金
欧盟地平线“2020”;
关键词
Vaccine willingness; Vaccine hesitancy; Trust; COVID-19; Socio-demographics; Online survey; PUBLIC PREFERENCES; WILLINGNESS; HESITANCY; ACCEPTABILITY; CONFIDENCE; STRATEGIES; POLICY; STATE;
D O I
10.1016/j.vaccine.2021.10.073
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: A year after the start of the COVID-19 outbreak, the global rollout of vaccines gives us hope of ending the pandemic. Lack of vaccine confidence, however, poses a threat to vaccination campaigns. This study aims at identifying individuals' characteristics that explain vaccine willingness in Flanders (Belgium), while also describing trends over time (July-December 2020). Methods: The analysis included data of 10 survey waves of the Great Corona Survey, a large-scale online survey that was open to the general public and had 17,722-32,219 respondents per wave. Uni-and multivariable general additive models were fitted to associate vaccine willingness with socio-demographic and behavioral variables, while correcting for temporal and geographical variability. Results: We found 84.2% of the respondents willing to be vaccinated, i.e., respondents answering that they were definitely (61.2%) or probably (23.0%) willing to get a COVID-19 vaccine, while 9.8% indicated maybe, 3.9% probably not and 2.2% definitely not. In Flanders, vaccine willingness was highest in July 2020 (90.0%), decreased over the summer period to 80.2% and started to increase again from late September, reaching 85.9% at the end of December 2020. Vaccine willingness was significantly associated with respondents' characteristics: previous survey participation, age, gender, province, educational attainment, household size, financial situation, employment sector, underlying medical conditions, mental well-being, government trust, knowing someone with severe COVID-19 symptoms and compliance with restrictive measures. These variables could explain much, but not all, variation in vaccine willingness. Conclusions: Both the timing and location of data collection influence vaccine willingness results, emphasizing that comparing data from different regions, countries and/or timepoints should be done with caution. To maximize COVID-19 vaccination coverage, vaccination campaigns should focus on (a combination of) subpopulations: aged 31-50, females, low educational attainment, large households, difficult financial situation, low mental well-being and labourers, unemployed and self-employed citizens. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:151 / 161
页数:11
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