Risk of diarrhea with adult residents of municipalities with significant livestock production activities
Bibliographic record
Abstract
BACKGROUND: The intensification of livestock production has led to situations where the amount of manure that is produced exceeds the amounts needed in some areas. The objective of this study was to evaluate the relationship between the intensity of livestock activities and manure products, particularly in swine farms, and the prevalence of diarrhea in adults. METHODS: A survey was carried out on 8702 adults living in 161 municipalities in Quebec areas with intensive farming activities. Data were collected by a telephonic interview on diarrheal symptoms that occurred during the previous week of the interview, on water consumption and on selected risk factors. Statistical analysis was performed using a 'generalized estimating equations' model. RESULTS: Prevalence of diarrhea was found to be highest in adults aged between 25 and 34 years. No association was found between swine density or liquid manure application and diarrheal prevalence. There was also no association between cattle or total animal density and diarrheal prevalence. In the areas studied, there was no increase in risk associated with the consumption of tap water with suboptimal treatment and susceptible to microbiologic contamination. CONCLUSION: Significant livestock production and excess of manure were not associated with the risk of diarrhea in adults.
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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 | 0.002 | 0.000 |
| 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 | 0.001 |
| 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".