Vaccine and Psychological Booster: Factors Associated With Older Adults’ Compliance to the Booster COVID-19 Vaccine in Israel
Bibliographic record
Abstract
Israel became the first country to offer the booster COVID-19 vaccination. The study tested for the first time the role of sense of control (SOC) due to vaccinations, trust and vaccination hesitancy (VH), and their association with compliance to the booster COVID-19 vaccine among older adults, during the first 2 weeks of the campaign. 400 Israeli citizens (≥ 6 years old), eligible for the booster vaccine, responded online. They completed demographics, self-reports, and booster vaccination status (already vaccinated, booked-a-slot, vaccination intent, and vaccination opposers). Multinomial logistic regression was conducted with pseudo R 2 = .498. Higher SOC and lower VH were related to the difference between early and delayed vaccination (booked-a-slot, OR = 0.7 [0.49‐0.99]; 2.2 [1.32‐3.62], intent OR = 0.6 [0.42‐0.98]; 2.7 [1.52‐4.86]), as well as to rejection ( OR = 0.3 [0.11‐0.89]; 8.5 [3.39‐21.16]). Increased trust was only related to the difference between early vaccinations and vaccine rejection ( OR = 0.3 [0.11‐0.89]). We suggest that SOC, as well as low VH, can be used as positive motivators, encouraging earlier vaccinations in older age.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".