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Public Health Use of Surveillance for West Nile Virus in Horses: Saskatchewan, 2003-2005

2008· article· en· W2065859585 on OpenAlexaffabout
Tasha Epp, Cheryl Waldner, Rebecca L.A. Corrigan, P. Curry

Bibliographic record

VenueTransboundary and Emerging Diseases · 2008
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsSaskatchewan HealthMinistry of HealthUniversity of Saskatchewan
Fundersnot available
KeywordsPublic healthEpidemiological surveillanceWest Nile virusVaccinationEpidemiologyPublic health surveillanceEnvironmental healthVeterinary public healthMedicinePopulationVeterinary medicineOne HealthGeographyVirologyVirusPathology

Abstract

fetched live from OpenAlex

West Nile virus (WNV) infection in horses was first reported in Canada in 2001 and in the province of Saskatchewan in 2002. This paper outlines the surveillance results of WNV in Saskatchewan horses from 2003 to 2005 and describes the usefulness of its inclusion in an integrated surveillance program in Saskatchewan. The number of human and horse cases was highest in 2003, the epidemic year and then substantially lower in 2004 and 2005. Horses provided additive information about WNV activity in rural areas with low human population, however, this required willingness and active participation by veterinarians and horse owners. Vaccination impedes the future use of horses in WNV surveillance for public health or veterinary purposes; however, for zoonoses where no vaccination is available, domestic animals would be useful components for surveillance. Integration of surveillance data from human and animal health provide the benefit of a more complex epidemiological picture that can be used to improve public health.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.100
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.052
GPT teacher head0.282
Teacher spread0.230 · 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".

Quick stats

Citations8
Published2008
Admission routes2
Has abstractyes

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