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THE EPIDEMIOLOGY OF CHRONIC WASTING DISEASE ON SASKATCHEWAN CERVID FARMS (2002 – 2017)

2022· dissertation· en· W6990893886 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiquePrion Diseases and Protein Misfolding
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChronic wasting diseaseEpidemiologyHerdOutbreakBovine spongiform encephalopathyCullingDiseaseChristian ministryTransmissible spongiform encephalopathy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Chronic wasting disease (CWD) is a naturally occurring fatal transmissible spongiform encephalopathy of cervids. In 1996, CWD was recognized in a herd of farmed elk in Saskatchewan (SK) and by the year 2000 the disease was detected in wild mule deer (Bollinger et al., 2004). Records of CWD in farmed elk and white-tailed deer (WTD) in SK from 2002 – 2017 were reviewed to: 1) summarize the epidemiology of the disease in farmed elk and WTD within the province, and 2) develop a quantitative risk assessment to determine the probability of there being at least one infected WTD or elk in a movement event dependent on the location of the farm within the province. Data collected and compiled by the Canadian Food Inspection Agency and the SK Ministry of Agriculture were used to describe the epidemiology of CWD in SK farm cervids from 2002 – 2017. During this time period a total of 56 farms were found to be infected with CWD and underwent an eradication process. Animal movements within the period were numerous, with immigration events occurring more frequently than emigration events. Infected farms averaged nine movement events over the 16-year time period (range 0 – 74 movement events), and movement events onto and off farms involving at least one known CWD-positive animal occurred in 13 and 10 of the 16 years, respectively. Sources of CWD transmission for case farms were determined for 84% (47/56) of farms, and were primarily linked to within-farm (68%, 15/47) and off-farm sources (32%, 15/47), while for the remaining 16% (9/56) of farms, the source was unproven. The 132MM and 96GG genotypes were most prominent for CWD detected in elk and WTD, respectively. Higher immunohistochemistry grading was observed for clinically infected animals (70% of WTD were Grade 3, and 58% elk were Grade 4). Since the initial evaluation period (1996 – 2002) of CWD on farmed elk, the median period prevalence of CWD on farms slightly decreased from 4.4% to 3.9%, and the median prevalence at the time of depopulation (point prevalence) for this review period was 2.6%. A quantitative risk assessment determined that the risk of an infected animal being involved in a movement event was dependent on the geographic location, sex and age of the animal. The quadrant sections Q1 (central west) and Q2 (central east) had the greatest probability of an infected animal being involved in a movement event for WTD and elk, respectively, while Q4 (southeast) had the lowest probability for both species. Captive WTD within SK had a greater mean probability of at least one infected animal (4.80%) being involved in a movement event compared to elk (3.22%) for the province as a whole. For elk, males less than the median age of CWD detection (70 mo) posed the greatest risk of contributing at least one infected animal in a shipment within the province, while for WTD the disease prevalence on WTD farms posed the greatest risk. We conclude that during this time period within-farm transmission was an increasingly important source of infection; however, the movement of infected animals among farms continued to play a role in the spread of disease within the province. Further investigation and identification of farm management factors associated with within-farm CWD transmission could help mitigate disease spread and decrease prevalence on SK cervid farms. The risk assessment study concluded that the geographic location, species, sex and age influence the potential risk of having at least one CWD infected animal involved in a movement event. Although additional risks (provincial surveillance program compliance, history of CWD detection on farm, duration and distance of shipment and quarantine protocol) were not investigated, further analysis involving added risks would be needed to further understand and lessen disease spread.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,123
Score d'incertitude au seuil0,248

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,209
Écart entre enseignants0,200 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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