How People in Eight European Countries Felt About the Safety, Effectiveness, and Necessity of COVID-19 Vaccination: A Cross-Sectional Survey
Bibliographic record
Abstract
Background/objectives: Attitudes towards COVID-19 vaccination vary globally, influenced by political and cultural factors. This research aimed to assess the views of people without a healthcare qualification in Europe on COVID-19 vaccination safety, effectiveness, and necessity as well as how well informed they felt. The secondary outcomes focused on how respondents’ views were affected by demographic and context factors and included a comparison by country of the level of feeling well informed. Methods: A mixed-method cross-sectional online survey in eight European countries, using convenience sampling. Results: A total of 1008 adults completed the survey, 60% of whom were female. While only 44.1% considered the vaccines safe, 43.5% effective, and 44.9% necessary, 80.0% had been vaccinated. Four in ten adults strongly agreed that they were well informed, while over a quarter did not answer the question. Younger respondents, well-informed individuals, and German respondents were more inclined to perceive COVID-19 vaccination as both effective and necessary. Conclusions: Motivations for vaccination included perceived health and social benefits, while concerns included a preference for “natural immunity”, the rapid development of the vaccine, and potential unknown long-term effects. A correlation existed between respondents feeling well informed about the different COVID-19 vaccines in their country and the likelihood of having been vaccinated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".