HIV/AIDS and forests in Sub-Saharan Africa: exploring the links between morbidity, mortality, and dependence on biodiversity
Bibliographic record
Abstract
HIV/AIDS is likely to lead to an intensification of poverty in Sub-Saharan Africa, and poverty can also lead people into conditions that increase their risk of exposure to, and exacerbate the impact of, HIV/AIDS. While the role of forest biodiversity as a safety net for the rural poor during times of crisis has been noted in studies across the developing world, the links between HIV/AIDS, poverty, and forests are not well understood. In particular, scholarly inquiry into the death of a productive household member due to HIV/AIDS, and the environmental ramifications of such an event on household livelihoods, has been lacking. This is an important research gap given the extent of prime-age adult mortality attributable to the HIV/AIDS pandemic, particularly in Sub-Saharan Africa. We conducted a systematic analysis of the published and gray literature in this domain to answer the following questions: (1) How does household dependence on forest biodiversity change from the onset of HIV/AIDS through morbidity and mortality? (2) Is there evidence to suggest that level of dependence varies according to the role of the deceased within the household economy (e.g., wage earner, resource collector)? (3) What do we know about the effects of loss of forest biodiversity on HIV/AIDS-affected households?. Our results indicate that: HIV/AIDS-related morbidity and mortality appears to increase an affected household's dependence on forest biodiversity (although further research is required); the death of a wage earner versus a resource harvester could impoverish a household by making it more reliant on collected natural capital that could previously have been bought; and the loss of forest biodiversity can threaten livelihood sustainability by reducing the availability of important medicinal plants, forcing people to skip meals to compensate for a lack of firewood for cooking, and requiring more physical labour to acquire forest resources such as firewood.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".