Public knowledge and attitude towards COVID-19 vaccines, implementation of preventive measures following vaccination, and perceived stress during the COVID-19 pandemic: A cross-sectional study in Jordan
Bibliographic record
Abstract
<b>Introduction:</b> Coronavirus disease (COVID-19) is caused by a relatively new coronavirus strain known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has become a significant worldwide health concern. The hesitancy of people to accept vaccination or implement the preventive measures following vaccination can be considered a serious issue that increases the spread of COVID-19. The objectives of the current study were to assess the knowledge and attitudes toward COVID-19 vaccination and the adoption of preventive measures following vaccination among the general population in Jordan and to compare the perceived stresses between the vaccinated and unvaccinated groups.<br /> <b>Methods:</b> An online cross-sectional survey was conducted among adults above the age of 18 years in Jordan during the period June-October 2021. The survey has six sections: (1) socio-demographic characteristics, (2) vaccination status, (3) knowledge of participants about COVID-19 vaccination, (4) attitude of participants about COVID-19 vaccination, (5) implementation of preventive practices among participants following COVID-19 vaccination, and (6) perceived stress toward COVID-19 among vaccinated and unvaccinated participants.<br /> <b>Results:</b> 605 respondents (69.8% female and 30.2% male) aged between 30-49 years completed the questionnaire. More than half were married and 40.5% received one (29.8%) or two doses (10.7%) of a vaccine. Generally, they showed a positive attitude toward COVID-19 vaccination with a value of 12.7 out of 19. Most of them (&gt;85%) showed proactive practices following vaccination by implementing some preventive measures such as implementing social distancing, avoiding crowded places, and shaking hands. The average perceived stress scale of the general population in Jordan was moderate with a value of 21.5 out of 40. However, fully or partially vaccinated individuals had a significantly (p=0.03) lower PSS (20.97) than unvaccinated people (21.87).<br /> <b>Conclusion:</b> The respondents have a good knowledge and positive attitude towards COVID-19 vaccination with good practices following vaccination. However, unvaccinated individuals were more likely to be stressed than vaccinated people. This study may assist policymakers to enhance the extent of COVID-19 vaccination and reduce the spread of this infection.
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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 | 0.006 | 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".