Background: Vaccine reluctance is both a complex and context-specific issue and is the result of many complicating factors that need to be addressed more systematically. In Europe, several country-based ad-hoc studies have been carried out on COVID-19 vaccines/vaccination and vaccine reluctance but a comprehensive overview covering all 27 European Union (EU27) countries is lacking. Such study can help understand vaccine reluctance in the overall EU as well as examine differences between individual countries. Methods: This study relies on data from Flash Eurobarometer 505, covering all 27 European Union member states; the sample size is N = 26, 641. It takes a fuzzy clustering approach to construct typologies of attitudes towards COVID-19 vaccination, and subsequently develops an “Index of Attitudes” (IA) which accounts for individual positioning of EU citizens. The data analysis is based on grade of membership (GoM) model which is a reliable statistical tool to tackle heterogeneous populations. Results: The output of GoM model unveiled a hierarchical fuzzy 3-partition corresponding to three clearly identified typologies of feelings towards COVID-19 vaccination: Typology 1 entails favourable feelings while moderate-favourable feelings describe the Typology 2. Finally, Tipology 3 encompasses the scepticism towards COVID-19 vaccines. The IA, which quantifies the sentiment of European citizens towards COVID-19 vaccination in a 0–1 scale, reveals that although EU27 citizens overall are not against COVID-19 vaccination (index mean = 0.44) some, mostly in eastern countries, deviate from this prevailing trend. Conclusion: Distrust in the safety and efficacy of all kinds of vaccines, as well as a generalised distrust in European and national institutions, are associated with the reluctance in relation towards COVID-19 vaccination. However, this reluctance varies across countries. The outcomes of our study not only inform national government and health care agents but also help define communication strategies to reach the most reluctant citizens. The segmentation it provides makes it easier to customise campaigns that raise awareness of the consequences of not being vaccinated, particularly as new SARS-CoV-2 variants emerge.

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European Union,Vaccine reluctance,Fuzzy analysis,Segmentation

• Biological Sciences - Natural Sciences
• Basic Medicine - Medical and Health Sciences
• Clinical Medicine - Medical and Health Sciences
• Health Sciences - Medical and Health Sciences
• Veterinary Science - Agriculture Sciences