Identifying the factors affecting quality of life among brucellosis patients in Herat, Afghanistan: a case-control study
Bibliographic record
Abstract
Background: Brucellosis remains a significant public health concern, especially in regions like the Mediterranean and Afghanistan. While its direct health effects are well-documented, its impact on quality of life is less explored.Objective: This study investigated the risk factors and quality of life effects of brucellosis in Herat, Afghanistan.Methods: Between October 2020 and February 2021, 155 participants were enrolled at Herat Regional Hospital and affiliated brucellosis laboratories. The sample included 75 individuals with confirmed brucellosis and 80 controls without a history of the disease. Data were collected using structured questionnaires, and quality of life was assessed with the SF-36. Statistical analyses included chi-square tests, logistic regression, and General Linear Model.Results: Key risk factors associated with brucellosis included marriage, lower education, contact with pets, infected family members, and using non-protected water (p < 0.05). Logistic regression confirmed increased odds of infection linked to these exposures. Quality of life assessments revealed significantly lower SF-36 scores among male patients across most components, with similar trends observed in female patients.Conclusion: Brucellosis significantly impacts quality of life, particularly among men, and is strongly linked to specific risk factors. Public health measures are essential to reduce infection rates and improve well-being in this region.
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".