Local, regional, and continental trends in tuberculosis mortality rates across the Americas at the beginning of the XXI century
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it