Reaching the Hard to Reach in Thailand: Eliminating Mother-To-Child HIV Transmission
Bibliographic record
Abstract
Thailand is the first country in the Asia-Pacific region to be validated by the World Health Organization as having eliminated mother-to-child transmission (MTCT) of HIV. The Thai government made health-and specifically addressing the HIV/AIDS crisis-a political priority. The Thailand experience, from the emergence of the HIV/AIDS epidemic in the 1980s through the present, provides an important case study of successful MTCT elimination. To eliminate MTCT requires that health interventions reach those who are hardest to reach: the poorest of the poor, geographically distant and rural, and marginalized. This policy report highlights key factors for successfully reaching the hard to reach in Thailand, including the importance of national public policy as well as investments in health care infrastructure, such as access to antenatal care, the creation of effective monitoring and surveillance systems, and strengthening local health capacity. Increased availability and affordability of antiretroviral therapies was also critical to Thailand's success in addressing MTCT. The Thailand case offers important policy lessons for achieving universal health. This policy report draws on secondary research and key informant interviews in Thailand to highlight factors for success in eliminating MTCT of 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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".