Maternal Mortality in Brazil, 1990 to 2019: a systematic analysis of the Global Burden of Disease Study 2019
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: Maternal death continues to be one of the most challenging public health problems that needs to be addressed in low and middle-income countries. The objective of this study was to describe the problem of maternal death in Brazil, using estimates from the Global Burden of Disease Study (GBD). METHODS: This study used data from the GBD 2019 to show the numbers of deaths and the Maternal Mortality Ratio (MMR) - number of deaths/100,000 live births - in Brazil and its 27 Federated Units (FU), for ages 10 to 54 years, from 1990 to 2019. The annual variation of the MMR was estimated in 1990, 2010, and 2019. The MMR were shown for specific causes as well as for five-year age groups. The estimates were presented with 95% uncertainty intervals (UI). RESULTS: The number of maternal deaths, as well as the MMR showed a 49% reduction from 1990 to 2019. This reduction occurred heterogeneously throughout the country, and the profile of the MMR for specific causes changed between 1990 and 2019: from hypertensive gestation diseases, to indirect maternal deaths, followed by hypertensive gestation diseases. In the extreme age groups, the MMR is higher, with mortality increasing exponentially in direct proportion with age. CONCLUSIONS: Maternal deaths in Brazil have decreased substantially since 1990; however, the numbers still fall short of what was established by the World Health Organization (WHO). Indirect causes are the greatest problem in more than 60% of the FU, especially for hypertensive pregnancy diseases.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it