Allergic Rhinitis and asthma in association with fungal pollution of indoor environments
Bibliographic record
Abstract
Allergy or asthma is triggered by inhaling allergens such as dust, mites, pet dander, pollens, and fungal molds. Samples were collected from various indoor environments including air conditioner filters, carpets, indoor plant soil, living room air, and pillow covers of fifty residents living in air-conditioned flats for screening the fungal pollution of indoor environments and their role in allergies and asthma. This study included 30 residents with school-aged children suffering from allergies or asthma and a healthy control group of another 20 other residential indoor environments. The fungi isolated from indoor environments include Aspergillus niger, A. nidulans, A. flavus, A. fumigatus, Alternaria sp., Paeciliomyces species, Bipolaris species, Trichophyton verrucosum, and T. rubrum. Aspergillus species were isolated from all environments while Trichophyton species were only isolated from indoor plant soil. The fungal presence was higher in the indoor environments of group 1 with allergic rhinitis and asthma with a significant p-value <0.00001 showing its role in allergic rhinitis when compared the group 2 without allergy or asthma. The children suffering from allergies and asthma were further grouped into intermittent (70%), persistent (13%), and asthma or allergic asthma (17%) cases based on symptoms and duration. For the treatment of intermittent allergic rhinitis, a combination of oral antihistamines, and nasal decongestants were used, while persistent allergy symptoms were treated with corticosteroids (oral/intranasal), oral antihistamines, and oral leukotriene receptor antagonists. Asthma cases were treated with salbutamol sulfate, a bronchodilator, and oral leukotriene receptor antagonists with a combination of antiallergic treatments. A combination of treatments with improved indoor hygiene showed better relief for allergic rhinitis and asthma and was significantly reduced from persistent symptoms to intermittent or recovered from allergic symptoms.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".