The impact of the COVID-19 pandemic on multicultural families with food allergy
Bibliographic record
Abstract
Background: Families with food allergy, in particular, have faced numerous challenges, often in the setting of financial and emotional stress during the coronavirus disease 2029 (COVID-19) pandemic. Objective: We examined the impact of the pandemic in a diverse population of families with food allergy. Methods: An online survey was administered between October 2020 and January 2021 through recruitment of adult caregivers of at least 1 child with food allergy. Survey responses were summarized by frequencies with proportions and medians with interquartile ranges or means plus or minus SDs. Results: = .032) was seen in significantly more caregivers with an income less than $200,000. Of the respondents, 76% experienced increased stress or discord within the home. Although becoming a member of a food allergy support group increased over time, significantly fewer African American respondents were members of a support group. The hospitalization rate for COVID-19 did not differ significantly between racial/ethnic groups. Conclusion: Our questionnaire has characterized the significant impact of economic as well as psychological stressors of the pandemic in a diverse population. Further studies on this topic are needed to help minimize the impact of future pandemics in a multicultural population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".