Knowledge and Awareness Regarding Seasonal Flu among a Sample of Paramedical Staff in Holy Karbala City/ Iraq
Bibliographic record
Abstract
A cross sectional study was carried out in Holy Karbala City/Iraq during the period from the 2st of January 2015 to the end of April to assess knowledge and awareness among a sample of paramedical staff regarding seasonal flu.The results of demographic data of the studied sample showed that there was a distinct males preponderance with mean ± SD of their ages was (35.21 + 10.09) years, the age range at the time of study was between (21-62) years , ( male : female ratio was 1.3:1) , more than half of the sample selected (57.4%) were males , (42.76%) falls in the age group of (20-29) years, and more than half were (54.51%) had Health Technical institute , (73.76%) from sample were married , and more than three quarter of sample (76.15%) were resident in urban and about half of the sample (51.96%) were worked in hospitals.The study provident There is Significant association has been found between level of education and their knowledge.No significant association has been found between (age groups, Gender, marital status, residence and working institute ) of paramedical staff and their knowledge.Present study concluded that the knowledge and awareness by paramedical staff in holy Karbala city regarding seasonal flu had good and acceptable score .The study recommendation by important dependent general programmes for health education additional training as intensive courses for short periods about the disease , mode of transmission and prevention measures with all available methods for all paramedical staff and other health staff.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".