Uncontrolled and under-diagnosed asthma in a Damascus shelter during the Syrian crisis
Bibliographic record
Abstract
Background: Studies have shown that poor shelter or dwelling conditions may lead to deteriorations in health. Those with asthma may be more susceptible to compromised living conditions and stress leading to a higher risk of asthma exacerbations. To describe the asthma control and quality of life of individuals with diagnosed asthma living in a shelter in Damascus, Syria and estimate the prevalence of respiratory symptoms in shelter dwellers without diagnosed asthma. Methods: In this cross-sectional study, all individuals 5 years and older living in Al-Herjalleh shelter with diagnosed asthma were recruited to complete a questionnaire, which included items related to their respiratory symptoms, asthma exacerbations, exposure to asthma triggers, medication use, and health-related quality of life before and since entering the shelter. A representative sample of shelter dwellers without diagnosed asthma also completed a questionnaire to establish their demographics, respiratory symptoms, environment and chronic disease co-morbidities, in order to identify factors associated with under-diagnosed asthma. All participants underwent spirometry to measure their lung function. Descriptive statistics were calculated, and chi-square tests and Student’s t-tests were used to compare individuals with asthma before and since entering the shelter, as well as to compare those with under-diagnosed asthma and individuals without asthma. Results: The prevalence of asthma at the Al-Herjalleh shelter in those aged 5 years and older was approximately 8.5%. Nearly 70% of the asthma group felt their asthma had worsened since entering the shelter, and there was a significant drop in the proportion of individuals using inhaled corticosteroids (ICS), with only 4.3% using daily ICS in the shelter (P<0.0001). The proportion of individuals experiencing a severe asthma attack did not change after entering the shelter (P=0.97), but almost all individuals with asthma (94.4%) reported worsening in their health-related quality of life. In the non-asthma group, 44.2% of participants reported episodes of wheezing, coughing and breathlessness at night, consistent with under-diagnosed asthma. A higher proportion of those with under-diagnosed asthma had allergic rhinitis (57.1%), symptoms of post-traumatic stress disorder (PTSD) (35.1%), and abnormal spirometry (60.0%), compared to those without asthma. Conclusions: The findings of our study highlight the need for asthma programs in Syrian shelters as significant gaps exist in both the screening and management of chronic respiratory diseases to minimize asthma deterioration in Syrian shelter dwellers.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".