Head lice infestations in rural Honduras: the need for an integrated approach to control neglected tropical diseases
Bibliographic record
Abstract
BACKGROUND: Pediculosis capitis is a neglected tropical disease (NTD) that receives little attention in countries where it continues to be endemic. This study aimed to understand the impact of Pediculus humanus capitis infestations in the lives of Honduran children living in extreme poverty. METHODS: A qualitative study on head lice infestation was conducted in June 2016 in a rural community in Honduras. Parents were invited to bring their children for head lice inspection using a dry-combing technique with a stainless steel-toothed comb with suction power. A semistructured questionnaire was administered to participants. Questions were broadly grouped into knowledge about transmission, control practices, barriers to treatment, and the overall impact of these infestations in children's wellbeing. Responses were coded, categorized, and organized through a theme-based approach. RESULTS: In total, 52 children aged 2-14 years (42 girls) and their mothers were enrolled in the study. The overall proportion of children with an infestation was 83%. Response analysis revealed a lack of understanding regarding lice transmission and stigmatization of infested children and the widespread belief that head lice were acquired during bathing in the slow-flowing river running through the village. An agricultural plaguicide was commonly used to rid children of head lice. CONCLUSIONS: The study underscores the dire situation of the rural poor, their physical and mental health affected by pediculosis capitis as well as other NTDs. These results highlight the need to reassess approaches and action towards combating NTDS under an integrated framework.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".