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EXTREME WEATHER AND WATERBORNE DISEASE OUTBREAKS IN CANADA, 1974–2000

2003· article· en· W2043927789 on OpenAlexaffabout
Kenneth D. Thomas, Dominique F. Charron, David Waltner‐Toews, Corinne J. Schuster‐Wallace, A Maarouf

Bibliographic record

VenueEpidemiology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicFecal contamination and water quality
Canadian institutionsUniversity of GuelphWilfrid Laurier UniversityPublic Health Agency of CanadaEnvironment and Climate Change Canada
Fundersnot available
KeywordsOutbreakWaterborne diseasesExtreme weatherCryptosporidiumWater supplyEnvironmental scienceEnvironmental healthGeographyClimate changeEcologyEnvironmental engineeringBiologyMedicine

Abstract

fetched live from OpenAlex

Recent large outbreaks of E.coli O157:H7, Campylobacter and Cryptosporidium from contaminated public water supplies in Canada have provoked considerable concern about the safety of the water supply. Many complex eco-social interactions lead to waterborne disease outbreaks; however in several Canadian cases there is evidence that weather has been influential. We investigated the potential link between extreme weather events and recorded outbreaks of disease linked to water supply systems in Canada between 1974 and 2000. A case-crossover design was used to quantify the association between he occurrence of an extreme weather event (including heavy rain, sudden thaw, drought) prior to the beginning of an outbreak of waterborne illness. Water source, type of water supply, geographical and geological factors, season and demographics were factors in the analysis. The results of the analysis shed light on vulnerabilities in Canada to impacts of extreme weather on the water supply, and have implications for adaptation to changes in past climate regimes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.254
Teacher spread0.209 · 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.

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".

Quick stats

Citations0
Published2003
Admission routes2
Has abstractyes

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