Revisiting the Housing–Health Relationship for HIV-Positive Persons: Qualitative Evidence From the Lower Manya Krobo District, Ghana
Bibliographic record
Abstract
The relationship between housing and HIV infection is complex. On one hand, poor housing arrangements may affect the health of persons living with HIV/AIDS (PLWHAs). On the other hand, PLWHAs may be more likely to live in substandard homes because of their health. We used qualitative in-depth individual interviews of 38 PLWHAs attending voluntary counseling services at two government hospitals in the Lower Manya Krobo District (LMKD) in the Eastern region of Ghana to examine their housing and health outcomes. Results show that the majority of PLWHAs lived in homes that lacked basic amenities, were overcrowded, had structural deficiencies, and were noisy and dirty. They suffered from poor housing conditions mainly because of their HIV serostatus, as this affected their ability to finance adequate homes, while HIV-related stigmatization led to eviction from either family homes or rented facilities.
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 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 | 0.066 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.018 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".