COVID-19: Role of Integrated Regional Health System Towards Controlling Pandemic in the Community, Intermediate and Long-Term Care
Bibliographic record
Abstract
Older adults at home, intermediate and long-term care (ILTC) setting including nursing home and hospice care are vulnerable to COVID-19 infection with increased morbidity and mortality. Singapore is one of the fastest aging countries in Asia where 14.4% of population is above 65 years old and this will double by 2030 (1). About 16000 older adults live in long-term care facilities and many more attend different types of day care facilities (2). Many of the residents are frail, with underlying dementia and / or multimorbidity and often present atypically causing a delay in diagnosis. In many countries, COVID-19 has spread amongst nursing home residents with mortality ranging from 24% in Hungary to 82% in Canada (3). It is known that 56% of residents may test positive while in pre-symptomatic stage, and many countries have put in initiatives to decrease the risk of spread in care homes (4). COVID-19 pandemic has highlighted the importance of communication and collaboration amongst ILTC providers which in many countries are run by non-governmental organization’s, healthcare providers, regional and national healthcare leaders.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".