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Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data

Abstrakt

Opinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in the population. In this study, we revealed the determinants regarding vaccination directly from people’s opinions on Twitter, based on the framework of the 6As taxonomy. Covid-19 vaccine acceptance depends mostly on the characteristics of new vaccines (i.e. their safety, side effects, effectiveness, etc.), and the national vaccination strategy (i.e. immunization schedules, quantities of vaccination points and their localization, etc.), which should focus on increasing citizens' awareness, among various other factors. The results of this study point to areas for potentially improving mass campaigns of Covid-19 immunization to increase vaccine uptake and its coverage and also provide insight into possible directions of future research.

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
IEEE Access nr 9, strony 134929 - 134944,
ISSN: 2169-3536
Język:
angielski
Rok wydania:
2021
Opis bibliograficzny:
Baj-Rogowska A.: Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data// IEEE Access -Vol. 9, (2021), s.134929-134944
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/access.2021.3115554
Weryfikacja:
Politechnika Gdańska

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