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RISK OF GASTROENTERITIS IN RURAL AREAS OF QUEBEC WITH INTENSIVE ANIMAL FARMING

2003· article· en· W1999459648 on OpenAlexaffabout
Patrick Levallois, Suzanne Gingras, Philippe Chévalier, Myriam Caron, P F Payment, P Cantin

Bibliographic record

VenueEpidemiology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsInstitut National de Santé Publique du QuébecCentre hospitalier universitaire de QuébecMinistry of EnvironmentInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsEnvironmental healthMedicineOutbreakTechnicianAgricultureManureLivestockRural areaDiarrheaVeterinary medicineGeographyBiologyEcology

Abstract

fetched live from OpenAlex

Objectives Intensive animal farming is increasing in Quebec and there is some concern from the public and Medical Officers of Health that this could contaminate groundwater and potentially adversely affect health. According to phophorus's absorption by crops and vulnerability of groundwater, the province of Quebec has declared some rural areas in excess for production of animal manure. A moratorium on the construction of new hog farms was undertaken, and a study to evaluate the potential health impact of intensive animal farming in seven high risk watersheds was conducted. This study evaluated the risk of gastroenteritis in well water users in areas overloaded with manure versus controls using well water in non-overloaded rural areas. Methods 923 rural families living in sectors overloaded with manure (exposed group), and 241 rural families living in control sectors from the same watersheds were visited at home by a technician during Spring 2002. Water samples from each family's well were taken and analysed for Escherichia coli, entcroccocci, and male-specific coliphages. Water consumption habits and gastro-intestinal symptoms were measured by questionnaire for all family members for the week prior to the technician visit and a health diary was completed for the week following the visit. Risk factors for gastro-enteritis (age, gender, presence of chronic gastrointestinal illness, dietary habits, contact with animals and occupation) were assessed by questionnaire and were controlled for in the analysis. Results The period prevalence of highly credible gastro-enteritis (HCGI) and diarrhea was similar in the exposed compared to the control group: 9.5 % vs 9.6 % for HCGI (p = 0.93) and 3.2% vs 4.0% for diarrhea (p = 0.40). Among well water consumers, the adjusted Odds Ratio (OR) for exposure was 0.94 (95% CI: 0.64–1.38) for HCGI and 0.71 (95% Cl: 0.39–1.31) for diarrhea. Contamination of well water was rare and slightly lower in the exposed group: 1.3% vs 1.7% (p = 0.76) for E. coli, and 4.9% vs 7.9% for enterococci (p = 0.08). Contamination by male-specific coliphages was rarely found (0.1% vs 0.4%, p = 0.37). Prevalence of HCGI was lower in the second week of the study, and risk of gastro-enteritis during this period was higher in heads of families using contaminated water: 9.8% vs 2.9% for those using uncontaminated water (p = 0.014). Conclusion Contamination of groundwater by microbiological indicators at the time of the study was rare, and the risk of gastro-enteritis for well water users in areas overloaded with manure was not increased. Limits of this study include: sample size, time of sampling, prevalence data and assessment of the exposure to animal manure using a sector-level variable. Those limits should be taken into account when interpreting these results. Acknowledgements the Quebec ministries of Environment, Health and Agriculture funded this study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.237
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2003
Admission routes2
Has abstractyes

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