What was the community support offered to people with disabilities during the COVID-19 pandemic in Brazil? A pilot study as part of a global survey.
Bibliographic record
Abstract
Background: The COVID 19 pandemic has imposed challenges on the world, requiring strict biosecurity measures.Thus, community supports are of great importance for coping with the pandemic for people with disabilities.We aimed to identify and analyze community supports for people with disabilities during the pandemic in Brazil.Methods: Participants with disabilities or related to people with disabilities, including professionals of health care, answered an electronic form about the community supports offered during the pandemic, using categorical data.Results: Participated 105 individuals.It was found that the majority reported that people with disabilities did not have available accessible screening for COVID-19, nor had facilities accessible for quarantine or updates about the pandemic.Further on, did not have home care from personal support workers, home care nurses or caregivers, provision of personal protective equipment, nor online medical care, online educational support, personal technical equipment or delivery services available.Conclusions: The COVID-19 pandemic further exacerbated the dire situation to access health and community services in Brazil.The findings highlight and give more visibility to the great demand that this population still has in Brazil and enables targeted and effective social actions for the population with disabilities during and after pandemic period, enabling better health and social care for them, not only for Brazil, but also for other developing countries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.030 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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".