Profile of sexually transmitted infections (STI) in patients attending 'SURAKSHA' clinics of Madhya Pradesh
Bibliographic record
Abstract
Background: Reproductive tract infections (RTIs) and sexually transmitted infections (STIs) present a huge burden of disease amongst youth in India (approx. 6%). Methods: To study the profile of population affected by STI/RTI and spread amongst both sexes and classify STI according to its various types the present cross sectional study was conducted from Jan 2011 to September 2011. A 12 days training was imparted followed by 3 days refresher training every quarter to counselors. The information was entered in a standardized Computerized Monitoring and Information System format designed by NACO and modified by state AIDS control society on daily basis. Results: There were 1, 22, 000 patients of STI/RTI in designated clinics of the state. Out of which females were 75.49% and males 24.4%. Vaginal Cervical Discharge contributed for 59.94% among the STI/RTI patients. The second major cause of STI/RTI is Lower abdominal pain 20.36%. Genital ulcer (Herpitic) 2%, Non-Herpitic ulcer is 3%. The overall prevalence in MP is 5.95%. Conclusions: STI/RTI is more prevalent in females as compared to males possibly because of certain established biological factors. Vaginal Cervical Discharge remains the commonest presenting complaint in STD OPD’s amongst females followed by Lower Abdominal Pain. Indore, Bhopal, Sagar, Jabalpur and Dewas are amongst the high STI prevalent districts.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".