HIV Case Notification Rates in the Kingdom of Saudi Arabia over the Past Decade (2000–2009)
Bibliographic record
Abstract
OBJECTIVE: To study trends in HIV case notification rates in the Kingdom of Saudi Arabia. DESIGN: A ten year retrospective review of annual HIV case notification returns to the Ministry of Health, Kingdom of Saudi Arabia. METHODS: Annual Registry statistics covering the period 2000 to 2009 were reviewed. Annual incidence trends were stratified according to the following demographics: age, nationality, geographical region of residence, gender, and mode of disease acquisition. RESULTS: 10,217 new HIV cases (2,956 in Saudi nationals and 7,261 in non-Saudis) were reported. Africans of Sub-Saharan Africa origin accounting for 3,982/7,261 (53%) of non-Saudi cases constituted: Ethiopians (2,271), Nigerians (1,048), and Sudanese nationals (663). The overall average annual incidence was <4 cases per 100,000; 1.5 cases per 100,000 for Saudis (range 0.5-2.5), and 13.2 per 100,000 for non-Saudis (range 5.7-19.0). Notifications increased yearly from 2000 for both groups until a plateau was reached in 2006 at 1,390 new cases. Case notification in Saudi nationals increased from 20% in the early 2001 to 40% in 2009. 4% (124/2,956) of cases were reported in Saudi children. The male to female ratio was 1.6:1 for non-Saudi nationals (43.8% male, 27.3% female) and 4.4:1 for Saudis (23.5% male, 5.4% female). CONCLUSIONS: Whilst the numbers of reported HIV cases have stabilised since 2006, HIV/AIDS remains an important public health problem in KSA, both in migrants and Saudi nationals. HIV transmission to Saudi children is also of concern. Optimization of data collection, surveillance, and pro-active screening for HIV is required.
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 | 0.001 | 0.001 |
| 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) | 0.001 | 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 teacher head, 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".