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 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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".