ArticleVaccines2021
Predicting COVID-19 Vaccination Intention: The Determinants of Vaccine Hesitancy.
Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Machine Learning Used in Communicable Disease Control: A Scoping Review.Public health reviews · 2026Pooled it
- Implications for COVID-19 vaccine uptake: A systematic review.Journal of infection and public health · 2023Pooled it
- Barriers and facilitators of childhood COVID-19 vaccination among parents: A systematic review.Frontiers in pediatrics · 2022Pooled it
- Beyond emotions: Social cognitive predictors of COVID-19 vaccination intentions before and after vaccine roll-out.PLOS global public health · 2026Article
- Influenza and COVID-19 vaccination intention in Portuguese adults from at-risk groups: a mixed-method study.BMC public health · 2025Article
- A cross-sectional study of the predictors of COVID-19 vaccine hesitancy in Pakistan.Human vaccines & immunotherapeutics · 2025Article
- Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.Human vaccines & immunotherapeutics · 2025Article
- Article
- Creating a Culturally Safe Online Data Collection Instrument to Measure Vaccine Confidence Among Indigenous Youth: Indigenous Consensus Method.JMIR formative research · 2024Article
- Exploring COVID-19 vaccine hesitancy among young adults in Australia. A qualitative study.Vaccine: X · 2024Article
- A scoping review of COVID-19 vaccine hesitancy: refusal rate, associated factors, and strategies to reduce.Frontiers in public health · 2024Article
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- Article
- COVID-19 vaccine hesitancy in Ethiopia in 2021: a multicenter cross-sectional study.IJID regions · 2023Article
- Article
- The psychological stress response of COVID-19 to medical staff and prevention: A large sample study from China.Frontiers in psychology · 2023Article
- Drivers of the Intention to Receive a COVID-19 Booster Vaccine: Insights from the UK and Australia.Vaccines · 2022Article
- Psychometric validation of a chinese version of COVID-19 vaccine hesitancy scale: a cross-sectional study.BMC infectious diseases · 2022Article
- Article
- The Attitude of Parents Toward Their Children Receiving the COVID-19 Vaccine.Children (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Do people want to be vaccinated against COVID-19? Herd immunity is dependent on individuals' willingness to be vaccinated since vaccination is not mandatory. Our main goal was to investigate people's intention to be vaccinated and their intentions to vaccinate their children. Moreover, we were interested in understanding the role of the personal characteristics, psychological factors, and the lockdown context on that decision. Therefore, we conducted an online survey during the lockdown in Portugal (15 January 2021 until 14 March 2021). Participants completed a socio-demographic questionnaire, questions about their intentions of being vaccinated, concerns about the vaccine, a COVID-19 attitudes and beliefs scale, a COVID-19 vaccine attitudes and beliefs scale, and the Domain-Specific Risk-Taking (DOSPERT) Scale. Our results showed that from the 649 participants, 63% of the participants reported being very likely to have the vaccine, while 60% reported being very likely to vaccinate their children. We conducted two linear regression models, explaining 65% of the variance for personal vaccination and 56% of the variance for children vaccination. We found that the COVID-19 vaccine general beliefs and attitudes were the main determinants of vaccination intention. Additionally, our proposed artificial neural network model was able to predict with 85% accuracy vaccination intention. Thus, our results suggest that psychological factors are an essential determinant of vaccination intention. Thus, public policy decision makers may use these insights for predicting vaccine hesitancy and designing effective vaccination communication strategies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.