Knowledge, Beliefs, and Intention to Vaccinate against COVID-19 among the Seventh Day Adventists in Southeast Asia Region
Bibliographic record
Abstract
Objective: The vaccine rollout in the Asian region was slower than in other countries. Factors such as lack of knowledge and skepticism towards the vaccine were noted. On the other hand, the influence of religious leaders on the congregation was enormous, including their intention to vaccinate. Guided by the Health Belief Model theory, this study aimed to explore the knowledge, belief and perceived susceptibility and severity of COVID, the perceived benefits and barriers of the vaccines, and the intention to vaccinate among the Seventh Day Adventists in Asia. Methods: This was a descriptive study with respondents chosen through a multi-stage sampling method within the Asian region. A validated self-survey questionnaire, piloted among 40 respondents, was used using the Google online form. Data gathering was conducted for one month, from May until June 2021. Results: Out of 400 questionnaires distributed, 396 responded with a return rate of 0.99%. The majority were aged 18-29 years (43.2%), men (61.4%), married (50.2%), completed a bachelors' degree (49.5%), currently working (65.4%), and have been a member of the church for 20 years (30.8%). The majority had excellent knowledge regarding the vaccine (mean 4.72, ± 1.33); despite having low belief in the vaccine (mean 2.18, ± 0.43), low perception of their susceptibility to acquiring COVID (mean 2.43, ± 0.34), low perception on the seriousness of COVID (mean 2.30, ±0.40), low perception on vaccine benefits (mean 2.27, ± 0.45), and perceived low barrier on being vaccinated (mean 2.27, ±.45). Most of them intend to vaccinate (67.3%). Conclusion: The findings of this study suggest that the majority of Adventists intend to vaccinate. However, there is a need for health education to enhance their belief in the vaccine and change their negative perception about their susceptibility and severity of COVID.
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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 | 0.002 | 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 | 0.001 | 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".