Knowledge, Attitude and Practice of Butchers Regarding Crimean Congo Hemorrhagic Fever in an Endemic Area of Iran
Bibliographic record
Abstract
Background: In endemic countries, Crimean-Congo hemorrhagic fever (CCHF) is an important zoonotic disease with significant public health implications. Previous studies in Iran suggests that CCHF poses a significant health risk to slaughterhouse workers and butchers. The main objecive of this study was to investigate the knowledge, attitude, and practice of butchers regarding CCHF at their workplace in an endemic area in southeastern Iran. Methods: A descriptive cross-sectional study was conducted from January to March 2022 in Zarand city. In total, 60 butchers were included in the city. Statistical analysis was performed using SPSS version 22. Results: The average scores of participants' knowledge, attitude and practice were 2.58±1.47, 25.38±3.15 and 21.78±4.07, respectively, indicating most butchers had good knowledge and a positive attitude and practice regarding safety measures for CCHF. One-way ANOVA showed no significant difference between participants’ knowledge, attitude, and practice in relation to the studied variables. The Pearson correlations revealed significant positive correlations between knowledge and attitude (r = 0.345), between knowledge and practice (r = 0.295), and between practice and attitude (r = 0.361) concerning CCHF disease. Conclusions: The results of the current study can help prevent occupational health risks related to work-acquired CCHF among butchers. We recommend conducting more comprehensive studies to evaluate other high-risk occupations for CCHF in Iran.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".