The first ten years: achievements and challenges of the Brazilian program of universal access to HIV/AIDS comprehensive management and care, 1996-2006
Bibliographic record
Abstract
A review was carried out of papers published between 1996 and 2006, documenting the introduction of highly active anti-retroviral therapy (HAART) in Brazil. Papers indexed in the MEDLINE and SciELO databases were retrieved using different combinations of keywords related to the management and care of AIDS in the post-HAART era: opportunistic diseases and co-infections, adherence to therapy, survival in the pre- and post-HAART eras, adverse events and side-effects, emergence and possible transmission of resistant viral strains, metabolic and cardiovascular disorders, and issues related to access to care and equity. The review documents the dramatic changes in HIV/AIDS disease progression in the post-HAART era, including an increase in survival and quality of life and a pronounced decrease in the episodes of opportunistic diseases. Notwithstanding such major achievements, new challenges have emerged, including slow evolving co-infections (such as hepatitis C, metabolic and cardiovascular disorders), the emergence of viral resistance, with consequences at the individual level (virological failure) and the community level (primary/secondary resistance at the population level), and impacts on the cost of new therapeutic regimens.
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.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".