Local, regional, and continental trends in tuberculosis mortality rates across the Americas at the beginning of the XXI century
Bibliographic record
Abstract
This ecological time-series study analysed tuberculosis (TB) mortality trends in the Americas from 2000 to 2019 using data from the Pan American Health Organization. Age-adjusted mortality rates by country and sex were assessed with Joinpoint regression to estimate annual percentage changes. Results showed a general decline in TB mortality, with average annual reductions of -2.3% in men and -1.9% in women. Brazil, Colombia, and Canada exhibited continuous decreases, while Saint Lucia, Jamaica, and Honduras had episodes of increase or fluctuation. The highest mortality rates persisted in Bolivia, Mexico, Nicaragua, Honduras, and Peru. Regional analyses indicated periods of trend stabilisation, especially in Central and South America during the latter years. Despite overall progress, significant disparities by region and sex remain, reflecting complex social, economic, and healthcare factors. Strengthening surveillance systems and tailoring interventions to specific local contexts are crucial for further reducing TB mortality across the continent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".