Local perceptions of dengue fever in northeast Thailand and their implications for adherence to prevention campaigns
Bibliographic record
Abstract
The government of Thailand has invested heavily in community-based dengue fever prevention campaigns, yet community participation has been inadequate to prevent transmission. This ethnographic study explored local understandings of dengue in rural northeast Thailand, and their implications for adherence to government-initiated prevention measures centred around mosquito control. While community members recognised the most severe manifestation of the disease - dengue haemorrhagic fever (DHF) - as life threatening, they were unaware of the existence of the milder form of dengue fever (DF) that makes up the majority of cases. Consequently, milder fevers were believed to be something other than dengue, such that dengue was perceived as a rare illness, hindering participation in prevention. Furthermore, a local illness category, khai mak mai ('fruit fever') complicated the diagnosis, treatment and prevention of dengue fever, as people viewed it as both difficult to distinguish from dengue, and untreatable by biomedicine.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".