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Record W6990893886

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

2022· dissertation· en· W6990893886 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsnot available
Fundersnot available
KeywordsChronic wasting diseaseEpidemiologyHerdOutbreakBovine spongiform encephalopathyCullingDiseaseChristian ministryTransmissible spongiform encephalopathy
DOInot available

Abstract

fetched live from 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.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.123
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.010
GPT teacher head0.209
Teacher spread0.200 · 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 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
Published2022
Admission routes1
Has abstractyes

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