dc.creator | Mouliou D.S., Pantazopoulos I., Gourgoulianis K.I. | en |
dc.date.accessioned | 2023-01-31T09:01:51Z | |
dc.date.available | 2023-01-31T09:01:51Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.3390/jpm12010015 | |
dc.identifier.issn | 20754426 | |
dc.identifier.uri | http://hdl.handle.net/11615/76789 | |
dc.description.abstract | Background: The Coronavirus Disease 2019 (COVID-19) pandemic has highlighted the need for preventive medicine and vaccinology to be paralleled to eliminate COVID-19 cases. Methods: A web-based questionnaire was disseminated through social media in the late November assessing the factors that may have influenced the final response to vaccination against COVID-19 in vaccinated and non-vaccinated Greek people. Results: Women, the younger generations, and university graduates were more likely to accept vaccination, whereas men, those with a basic education level, and the older generation showed a hesitance to the vaccine against COVID-19. About half of the vaccinated participants were influenced in their final decision mainly by being informed from the internet (50.4%), their work (51.7%), and social life (53.1%) while half of the non-vaccinated individuals were mostly influenced by keeping updated from the internet (55.5%) and by government policies (51.3%). COVID-19 risk (OR 2.511; CI 2.149–2.934; p = 0.000), frequent vaccinations for emerging pathogens (OR 14.022; CI 11.998-16.389), and social life (OR 2.828; CI 2.417–3.309; p = 0.000) had a significant impact on people’s positive response to vaccination against COVID-19. Conclusions: Monitoring and assessing the influence factors for the response to vaccination can be favourable strategies to further manage societal vaccination rates. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | en |
dc.language.iso | en | en |
dc.source | Journal of Personalized Medicine | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122668461&doi=10.3390%2fjpm12010015&partnerID=40&md5=5c895c5fbafc2ca26b99544d96c8c290 | |
dc.subject | SARS-CoV-2 vaccine | en |
dc.subject | adult | en |
dc.subject | Article | en |
dc.subject | coronavirus disease 2019 | en |
dc.subject | cost effectiveness analysis | en |
dc.subject | cross-sectional study | en |
dc.subject | decision making | en |
dc.subject | economic aspect | en |
dc.subject | education | en |
dc.subject | female | en |
dc.subject | government | en |
dc.subject | health care policy | en |
dc.subject | human | en |
dc.subject | human experiment | en |
dc.subject | internal consistency | en |
dc.subject | Internet | en |
dc.subject | Likert scale | en |
dc.subject | male | en |
dc.subject | middle aged | en |
dc.subject | normal human | en |
dc.subject | preventive medicine | en |
dc.subject | questionnaire | en |
dc.subject | sex difference | en |
dc.subject | social aspect | en |
dc.subject | social life | en |
dc.subject | social media | en |
dc.subject | vaccination | en |
dc.subject | vaccine hesitancy | en |
dc.subject | MDPI | en |
dc.title | Social Response to the Vaccine against COVID-19: The Underrated Power of Influence | en |
dc.type | journalArticle | en |