The Management of Newly Diagnosed HIV in a Sudanese Refugee in Canada: Commentary and Review of Literature
Bibliographic record
Abstract
BACKGROUND: Human Immunodeficiency Virus (HIV) prevalence rates in refugee camps are inconclusive in current literature, with some studies highlighting the increased risk of transmission due to poor living conditions and lower levels of education. With the increasing number of refugees from HIV endemic countries, it is important to assess the programs established to support patients upon arrival. Refugees have been reported to have a lower health literacy and face disease-related stigmatization, which must be overcome for the lifelong treatment of HIV. CASE PRESENTATION: 31-year-old female arrived in Canada as a refugee from Sudan with her 5 children in July of 2017. She was diagnosed with HIV and severe dental carries during her initial medical evaluation and referred to our centre. A lack of social support has resulted in severe psychological stress. The first being stigmatization which has led to her not disclosing the diagnosis to anyone outside her medical care team. Her level of knowledge about HIV is consistent with literature reporting that despite HIV prevention programs in refugee camps, compliance with risk reduction behaviors, especially in females, is low. Lastly, her major concern relates to the cost of living and supporting her children. CONCLUSION: Assessment of current HIV programs is necessary to recognize and resolve gaps in the system. Focusing on programs which increase both risk reduction behaviors in refugee camps and integration of refugees in a new healthcare system can facilitate an easier transition for patients and aid in the quest for global 90-90-90 targets for HIV.
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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".