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Record W56198131

New and emerging diseases--the wildlife interface.

2002· article· en· W56198131 on OpenAlexaffabout
Gary A. Wobeser

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsChronic wasting diseaseWildlife diseaseWildlifeVulpesPopulationRabiesBiologyEcologyRange (aeronautics)CanisMammalZoologyGeographyPredationDiseaseScrapieVirologyEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Emerging diseases are defined as those that have newly appeared in a population or that have existed but are increasing in incidence or geographical range. Most emergencies occur because of a breakdown in the barriers that previously limited the geographic or host range of the disease agent. Infectious diseases appear to flourish in disrupted environments. There are about 200 species of wild mammal and > 500 species of wild bird in Canada. These provide a potentially rich pool of new disease agents and disease hosts, which is increased further by the introduction of new species from other areas of the world. Several factors influence the involvement of wild animals in disease emergence; a) the introduction of new disease agents with translocated wild animals; for example, rabies moved with racoons (Procyon lotor) and coyotes (Canis latrans) that were translocated for hunting in the USA; Echinococcus multilocularis was translocated with foxes (Vulpes vulpes) to the southeastern USA; Fasciolides magna moved with elk (Cervus elaphus) from North America to Europe; and chronic wasting disease moved with farmed elk; b) the introduction of a disease agent that becomes established in indigenous wild animals; for example, the establishment of West Nile virus in eastern North American birds and of plague in wild rodents in western North America; c) the introduction of a wild animal that alters the ecology of an existing disease; for example, the brush-tailed possum (Trichosurus vulpecula) introduced to New Zealand became the major reservoir for bovine tuberculosis; d) environmental change that favors range expansion or population increase of wild animals involved in a disease; for example, habitat changes have resulted in increased deer and tick populations associated with the emergence of Lyme disease; environmental changes have led to expanded populations of double-crested cormorant (Phalacrocorax auritus) and epizootics of Newcastle disease; and range expansion of raccoons has introduced Baylisascaris procyonis to the prairie provinces; e) changes in land use that bring humans, domestic animals, and wild animals into closer contact; and f) changes in human activities that alter disease transmission; for example, the impact of artificial feeding on the maintenance of bovine tuberculosis in white-tailed deer (Odocoileus virginianus) in Michigan and brucellosis in some elk populations; and the occurrence of mycoplasmosis and salmonellosis in songbirds associated with backyard feeders. The involvement of wild animals may complicate management of a newly emerged disease in several ways, including the difficulty in detecting the occurrence of the disease or disease agent in wild animals compared with in human or domestic animal populations, the difficulty in implementing standard disease control measures in free-ranging animals, the need to involve many agencies with different mandates, and public resistance to disease measures that are perceived to be harmful to a publicly owned and highly treasured resource.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0900.017

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 head0.027
GPT teacher head0.257
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2002
Admission routes2
Has abstractyes

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