Occurrence of scorpion sting and associated factors in a highly marginalized municipality in Guerrero, Mexico: A cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Scorpion sting is a neglected public health problem, despite a global estimate of 1.2 million scorpion stings and some 3,250 deaths annually. METHODS: This cross-sectional study estimates the occurrence of scorpion stings and identifies associated factors in seven communities in the highly marginalized municipality of Chilapa, in the Mexican state of Guerrero. After informed consent, 1,144 households provided information on 4,985 residents. The questionnaire collated sociodemographic data, characteristics of the dwelling, efforts to avoid scorpion stings, and individual information of scorpion stings suffered in the last year. Cluster-adjusted (acl), bivariate and multivariate analysis relied on the Mantel-Haenszel procedure. RESULTS: The overall period prevalence of scorpion stings in the year prior to the study was 4.4% (218/4985), 5.4% in men (126/2320), and 3.5% in women (92/2665), p<0.01. The majority occurred at home 68.3% (149/218), followed by agricultural fields 26.6% (58/218), street 2.8% (6/218), and work 2.3% (5/218). Factors associated with scorpion sting were carrying firewood (OR 2.1; CI95%acl 1.40-3.09), keeping free-range hens around of the home (OR 1.9; CI95%acl 1.19-2.85), residing in a rural area (OR 1.7; CI95%acl 1.04-2.78), being male (OR 1.6; CI95%acl 1.18-2.28), and helping with housework (OR 1.6; CI95%acl 1.04-2.40). CONCLUSION: This study confirms scorpion bites are a public health problem in these marginalized communities in Guerrero State, with risk factors related to living conditions and the work process at home and in the fields. Almost all risk factors identified could be reduced with low-cost interventions implemented by the communities themselves.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".