Neighborhood Deprivation and Symptom Burden Among Older Adults After Hospitalization for COVID-19
Bibliographic record
Abstract
Persistent symptoms following COVID-19 disproportionately affect older adults and may be exacerbated by neighborhood socioeconomic deprivation. We evaluated the association between neighborhood deprivation and symptom burden after COVID-19 hospitalization among 298 older adults from five Connecticut hospitals (June 2020–June 2021). Symptom burden was measured using the Edmonton Symptom Assessment System at baseline and 1, 3, and 6 months post-discharge, while neighborhood deprivation was assessed with the Area Deprivation Index. Using Bayesian linear mixed models adjusted for demographic and clinical factors, we found that residing in high-deprivation neighborhoods (ADI > 9/10; n = 28) was associated with higher symptom burden over the 6-month follow-up period. Adjusted analyses estimated a 2.2-point greater mean symptom burden (95% CI: 0.1–4.2). These findings suggest that neighborhood socioeconomic factors may significantly contribute to the persistence of COVID-19 symptoms in older adults, underscoring the need for targeted post-discharge care strategies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".