THE INFLUENCE OF HEAVY ALCOHOL CONSUMPTION ON HIV INFECTION AND PROGRESSION
Why this work is in the frame
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Bibliographic record
Abstract
The Sub-Sahara African region is inhabited by only 11% of the global population, but is home to 67% of the total HIV infected people and accounts for more than 70% of global AIDS deaths. In this study, we construct a mathematical model to investigate the effect of heavy alcohol consumption on the transmission and progression of HIV/AIDS, and to assess the impact of heavy drinkers on HIV/AIDS related social and health problems such as TB case load and number of orphans. Using demographic data for Botswana, we have shown that if more HIV/AIDS individuals had been de-addicted from heavy alcohol consumption, the severity of the HIV/AIDS epidemic and the impact of HIV/AIDS on the number of TB cases and orphans would have been significantly less than is the case currently. The study points to the vital need for counseling and education about the evils of heavy alcohol consumption and for alcohol de-addiction programmes.
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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 | 0.001 | 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 | 0.000 |
| 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