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Identifying factors influencing Covid-19 vaccine uptake in Finland – a qualitative study using social media data

Bibliographic Data

ID22068090
AuthorsAnna‐Leena Lohiniva (0000-0003-3169-5872, Finnish Institute for Health and Welfare, corresponding author), Anna-Leena Lohiniva, Annika Pensola (Finnish Institute for Health and Welfare), Suvi Hyökki (Finnish Institute for Health and Welfare), Jonas Sivelä (Finnish Institute for Health and Welfare), Vuokko Härmä (Finnish Institute for Health and Welfare), Tuukka Tammi (0000-0001-5114-3026, Finnish Institute for Health and Welfare)
Year2023
Volume11
Pages1138800-1138800
Publication date2023-06-09
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1138800
PMID37361144
OpenAlexW4380084887
LanguageEN
Citations received1
References cited38

Introduction: Vaccine demand creation requires understanding what is driving the uptake of the vaccine. 24 Qualitative research methods are paramount to gaining a localized understanding of behavioral 25 drivers and barriers to vaccine uptake, but they are often underutilized. Methods: This is a qualitative study that 26 used public comments on the Facebook and Twitter posts of the Finnish Institute for Health and 27 Welfare (THL) as data sources to identify behavioral drivers for COVID-19 vaccine uptake in 28 Finland. The participatory data analysis utilized thematic analysis and the Theoretical Domains 29 Framework (TDF). NVIVO was used to assist in the coding process. Results: The greatest number of FB and 30 Twitter comments were linked with six TDF domains: knowledge, environmental context and 31 resources, beliefs in consequences, beliefs in capabilities, social and professional role, and social 32 influences. The domains included 15 themes that were interlinked. The knowledge domain 33 overlapped with all other domains. Discussion: By using public discourse on Facebook and Twitter, and rapid 34 qualitative data analysis methods within a behavioral insight framework, this study adds to the 35 emerging knowledge about behavioral drivers of COVID-19 vaccines that can be used by public 36 health experts to enhance the uptake of vaccines during future pandemics and epidemics

Citizen journalism · Disease · Geography · Pandemic · Political science · Public health · Public relations · Qualitative property · Qualitative research · Social media · Social science · Sociology · Thematic analysis · World Wide Web · Computer Science · COVID-19 epidemiological studies · Medicine · Misinformation and Its Impacts · Nursing · Psychology · Vaccine Coverage and Hesitancy

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo
Open DOIOpen Access
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