COVID-19 no Brasil: evolução da epidemia até a semana epidemiológica 20 de 2020
Bibliographic record
Abstract
Objective to describe the evolution of COVID-19 in Brazil up until epidemiological week 20 of 2020. Methods this is an ecological study based on data and official documents from the Brazilian Ministry of Health and international organizations; comparisons were made between Brazil and other countries and incidence and mortality rates were calculated. Results by the end of epidemiological week 20, 233,142 cases, and 15,633 deaths had been confirmed for Brazil as a whole and 3,240 (58.2%) of the country's municipalities had reported at least one case; Brazil was at an earlier phase of the pandemic when compared to other countries, except Russia and Turkey, regarding cumulative cases, and except Canada regarding cumulative deaths; the highest rates were found in Brazil's Northern Region states, where Amazonas state had the highest incidence rates(4,474.6/1,000,000) and mortality rates (331.8/1,000,000). Conclusion Brazil is one of the countries with the highest number of confirmed cases and deaths, with marked regional differences.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".