HIV and Sexually Transmitted Infections in the\nNetherlands in 2004 An update: November 2005
Bibliographic record
Abstract
The increasing trend of Sexually Transmitted Infections (STI) has continued further in 2004, despite a slight levelling off in 2003. The rise was observed both in the number of consultations and STI among heterosexuals and men having sex with men (MSM). In 2004, the number of new HIV diagnoses in the national HIV registry only increased among MSM. Serious epidemics of STI have occurred simultaneously in this group recently. The increase of HIV and STI suggest an increase of sexual risk behaviour among MSM. Alertness and innovative prevention and intervention methods are required to prevent a further spread of STI and HIV. As of June 2005, a total of 10619 HIV cases were reported in the Netherlands; 938 diagnoses in 2004. MSM still account for the majority of the cases. The number of heterosexually acquired infections declined for the first time in 2004. In the STI sentinel surveillance network, the number of chlamydial cases increased by 19%, that of gonorrhoea by 12%. Also, diagnoses of syphilis and HIV continued to rise in 2004. In 2000-2004, the number of syphilis cases among MSM has more than tripled. 14% of all chlamydial cases, gonorrhoea and syphilis cases among MSM were seen in HIV positives. Furthermore, in 2004 the percentage of ciprofloxacin resistance in gonococci has further increased to 15%. Enhanced surveillance of LGV was started in a response to an outbreak of LGV among MSM. Since January 2004, 160 cases had been reported. LGV has now been reported by other European countries, the USA and Canada as well. In the Netherlands, the number of LGV cases seem to rise slowly.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".