Integrated opisthorchiasis control through the EcoHealth/one health approach: 15 years of success and experiences with the Lawa model
Bibliographic record
Abstract
Opisthorchis viverrini infection remains a major health problem in Northeast Thailand and the Mekong region impacting over 12 million and causing bile duct cancer. Using an EcoHealth/One Health approach at Lawa Lake in Thailand, our integrated control program achieved a substantial reduction in liver fluke prevalence from 60 % to <5 % over 15 years. Key interventions included chemotherapy, collaboratively designed health education, ecosystem modification, and community participation. Infections in intermediate hosts, Bithynia snails and Cyprinoid fish, are now undetectable. Improved community knowledge resulted in healthier practices. The “Lawa Model”, a recognized model for liver fluke control, is now a training hub being scaled up in Thailand and the Mekong region. This program demonstrates how One Health strategies can address complex health and ecological challenges and aligns with WHO recommendations. The success of the Lawa Model demonstrates the efficacy of integrated One Health interventions against endemic parasitic diseases.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".