Prevention measures against COVID-19 performed by people with diabetes mellitus
Bibliographic record
Abstract
In the absence of treatment and vaccine against coronavirus, preventive measures must be adopted, especially by people with diabetes. The objective was to identify the preventive measures against the new coronavirus carried out by people with diabetes. This is a cross-sectional study carried out with 214 people with diabetes through a questionnaire provided by a Google forms link in June 2020. We used descriptive statistics and the Spearman test to compare means. Most participants were female (85.9%), young adults (84.1%), with type 1 diabetes (76.7%), and without complications (74.2%). A high average of glycated hemoglobin (7.5 ± 1.4), changes in selfcare routine (72%) and in blood glucose levels (72.8%), wearing masks (98.1%), washing hands with soap and water (96.7%), using alcohol gel (94.4%), and social distancing (85%) were observed. It is essential to reinforce care for the metabolic control of people with diabetes, in addition to optimizing strategies against the COVID-19 epidemic with a view to preventing and promoting health.
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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".