The Impact of Global Health Disparities on Atopic Dermatitis in Displaced Populations: Narrowing the Health Equity Gap for Patients with Skin of Color
Bibliographic record
Abstract
Atopic dermatitis (AD) is a relatively common inflammatory skin disease marked by eczematous lesions and pruritus often leading to significant morbidity and quality of life impairment for those affected. Recent studies have shown that patients with skin of color (SOC) carry a larger disease burden than patients of European descent. In the USA, these disparities are partly due to structural, environmental, and interpersonal racism. From a global perspective, there is a paucity of research on the burden of atopic dermatitis and other inflammatory skin diseases experienced by the record numbers of refugees, migrants, and asylum seekers around the world. Although it is still unclear whether the true prevalence of AD in displaced communities is higher compared with the general population, those who are displaced suffer from unique risk factors that render them especially vulnerable. In this review, we outline a number of factors contributing to AD susceptibility and/or aggravation in displaced communities. These include poor living conditions, climate change events, psychological stress, and lack of access to medical care and health-related behaviors.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 |
| 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".