Factores asociados con la picadura de alacrán en escolares: estudio transversal en dos comunidades rurales de Guerrero, México
Bibliographic record
Abstract
Introduction: Scorpion stings represent a public health problem in Latin America and North America. The aim of this study was to identify species of medical importance, as well as to estimate the frequency of scorpion sting and the associated risk and protective factors in schoolchildren. Methods: Cross-sectional study in two rural communities in the Mexican state of Guerrero, in two phases: an entomological study that estimated the scorpion density and overcrowding index; a survey to document housing characteristics, poultry ownership, and history of scorpion sting in schoolchildren. Adjusted odds ratio (ORa) was used as a measure of association with scorpion sting in a multivariate analysis. Results: The species of medical importance were Centruroides limpidus and Centruroides balsasensis. Twelve percent (171/1,437) of school children reported scorpion sting in the last six months, of whom seven out of ten required medical care. Four factors were associated with the report of scorpion sting: having ducks in the dwelling (ORa: 1.98; CI 95%: 1.2-4.29), lack of cleanliness in the dwelling (ORa: 1.84; CI 95%: 1.02-4.16), farming as an occupation (ORa: 1.53; CI 95%: 1.13-2.46) and dwelling with uncovered infrastructure of the roof, those made of wood/iron sheet or cardboard (ORa: 1.42; CI 95%: 1.04-2.18). Conclusions: The most relevant species was Centruroides limpidus. Two factors might be particularly relevant to prevention: improvement of household roofing material and attention to housekeeping.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".