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Record W2054272363 · doi:10.5864/d2014-021

Household pets and zoonoses

2014· article· en· W2054272363 on OpenAlex
Yvonne Whitfield, Angela Smith

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Health Review · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPublic healthEnvironmental healthMedicinePsychological interventionOutbreakHygieneDiseaseTransmission (telecommunications)Veterinary medicinePathologyNursing

Abstract

fetched live from OpenAlex

The popularity of having exotic animals as pets is increasing, particularly among children. It is also estimated that approximately 75% of emerging infectious diseases are zoonotic. The implications of these two trends are areas of concern for the public health community. We conducted a review of household pet zoonoses studies. This included a jurisdictional scan of public health agencies in Canada for policies and protocols on household pet zoonoses. Key stakeholder consultations with pet-related zoonoses experts and authors in Canada enhanced the information reviewed. Trends in pet ownership, risks of disease transmission, burden of illness, and current public health practices were examined. As a result, policy and intervention gaps and future opportunities for research and collaboration were identified. Specifically, pets remain as a primary source of numerous reportable and nonreportable diseases and outbreaks for example, salmonellosis, tularaemia, cutaneous larvae migrans, and Human Lymphocytic Chorimeningitis Virus infections. Pet treats and some pet foods were cited as potential sources of zoonotic diseases. Children under 5 years of age and immuno-compromised individuals were noted as potential high-risk groups; and daycares, schools, summer camps, private homes, and acute care and veterinary hospitals were noted as high-risk settings for zoonotic disease transmission. The primary risk factors identified include improper handling of pets and improper hand hygiene. The continued growth of the pet industry will necessitate interventions by public health, veterinary, and regulatory communities to mitigate the impact of pet zoonoses on the public. These interventions should include enhancement of the current surveillance systems, regulations to address existing gaps in the pet food industry, the development of policies and protocols at the provincial and federal levels of government, education of the public regarding the risks associated with the handling of pets, and greater collaboration among the human and animal health sectors.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.964
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.029
GPT teacher head0.246
Teacher spread0.217 · 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