Vulnerabilities, care, and exposure to illness risks among people with intellectual disabilities in Brazil during the COVID-19 pandemic (2020-2021)
Bibliographic record
Abstract
People with intellectual disabilities, especially those who require care, are among the most affected by severe forms of COVID-19 and COVID-19- related deaths. In this study we investigated how care needs and other vulnerabilities influence the possibility COVID-19 infection among people with intellectual disabilities in Brazil. Method: Descriptive quantitative study using an online questionnaire answered by 2,800 respondents with intellectual disabilities over the age of sixteen. Results: Individuals with a greater need for care had higher frequencies of positive COVID-19 diagnoses (6.5%-8%) and were approximately six times more likely to be infected by family members than those who did not have COVID-19 in the family. Conclusions: There is a need for specific government measures to protect people with intellectual disabilities and their caregivers, because those with greater care needs are the most exposed to risks of contagion and sickness and have potential vectors of infection among family members and caregivers.
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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 | 0.002 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".