HIV/AIDS-knowledge and attitudes in the Arabian Peninsula: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: HIV/AIDS prevention has been widely adopted worldwide, but little is known about HIV/AIDS knowledge and attitudes in the Arabian Peninsula. AIM: To summarize the level of knowledge and attitude about HIV/AIDS in seven Arabian Peninsula countries (Saudi Arabia, Oman, Kuwait, Qatar, Bahrain, Yemen, and the United Arab Emirates (UAE)). METHODS: A systematic literature search was performed using combined keywords in four scientific databases of peer-reviewed publications from January 2010 to June 2019. Twenty-five articles were included in the systematic review, and twenty studies in the meta-analysis. The data was analyzed using a random-effect model due to the heterogeneity between the studies. RESULTS: Seventeen studies reported on the level of knowledge and overall knowledge about HIV/AIDS in this region: 74.4% (95% confidence interval (CI): 66.8%-82.0%, p<0.001) and the attitude was 52.8% (95% CI: 36.9%-68.6%, p<0.001). A study from Oman reported higher knowledge levels (95.5%, 95% CI: 94.2%-96.8%) while less than a quarter of the Bahrain population had positive attitudes 22.5% (95% CI: 20.5%-24.5%). Medical doctors showed higher knowledge (94.1%, 95% CI: 92.9%-95.3%), but a positive attitude was only observed in 32.5% (95% CI: 28.8%-36.2%) of the dentists toward HIV/AIDS. CONCLUSION: The overall knowledge about HIV/AIDS was found to be satisfactory (74.4%), but about half (52.8%) of those displayed negative attitudes toward HIV/AIDS. Regular training courses as well as reviewing and reinforcing HIV/AIDS prevention guidelines can be useful to update knowledge and improve attitudes in this region.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".