Preventions of HIV/AIDS Transmission from Mother to Child in Pematangsiantar City, Indonesia
Bibliographic record
Abstract
Prevention of the HIV/AIDS transmission from mother to child should be a focus of common concern, considering that this effort is an effective and broad-impact strategy in suppressing maternal and infant mortality and is an indicator of the degree of public health in a country. Community Health Center with the Voluntary Counseling and Testing (VCT) service in Pematangsiantar has not fully provided the Prevention of Mother to Child Transmission (PMTCT). Therefore pregnant women still refuse to undergo HIV screening. In these circumstances, Pematangsiantar will potentially have an increase in the number of cases. In realizing the vision of health education institutions to integrate the promotion of HIV/AIDS and Sexually Transmitted Diseases (STD) for pregnant women, this research has studied the perception of pregnant women in the prevention of HIV/AIDS transmission from mother to child. So that the appropriate intervention strategy in suppressing the spread of HIV/AIDS can be done. The research type is quasi-experiment with the population in this study was all pregnant mothers who refused to undergo HIV screening at the time of the ANC, 194 people. Data analysis is processed with T-Test and conducted to view differences in the behavior and perception of pregnant women's beliefs against the transmission of HIV/AIDS after the intervention. The result showed there is an increased difference in the value of behavioral indicators and the health confidence of pregnant women after home visits. It is advisable to approach strategies with personal counseling, peer-Education, and home visits in the nets of pregnant women with HIV.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".