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Record W7056111628

Economics of Johne’s disease control decisions in western Canadian cow-calf herds

2021· dissertation· en· W7056111628 on OpenAlexaboutno aff

Bibliographic record

VenueK-State Research Exchange (Kansas State University) · 2021
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsControl (management)HerdDisease controlPopulationDiseasePopulation control
DOInot available

Abstract

fetched live from OpenAlex

Johne’s is a chronic and untreatable contagious disease of cattle leading to severe diarrhea, emaciation and eventually death. Nursing calves are susceptible to infection if exposed to shedding cattle or a contaminated environment. The prevalence of Johne’s disease in western Canadian beef herds is currently low, but rising, leaving the industry with a closing opportunity to develop strategies to control this costly disease. The expected returns from consistently applied test and control strategies were evaluated by applying a net present value (NPV) model to outputs from a dynamic disease simulation model. A total of fourteen scenarios were considered with combinations of the initial disease prevalence (0%, 1.5%, and 7%), breeding cow replacement strategy (internal heifer retention or external mature cow purchases) and testing choices (no testing, annual testing with a fictious perfectly sensitive and specific test, and annual testing with a commercially available ELISA blood test). Each scenario was simulated 1000 times for ten years. All models assumed clinical cows were culled. Livestock sales and operating input expenses were used to calculate annual revenues and expenses using a partial budget approach. Year end cash positions were discounted by 7.5% to estimate a NPV for each herd. The distributions of NPVs within scenarios were compared to identify preferred control strategies. Regardless of the initial prevalence of Johne’s disease, the most profitable strategy in infected herds was to purchase external mature replacement cows and conduct no testing. All scenarios with internal replacement heifers had substantially lower NPVs than the comparable strategy with external mature replacements. Scenarios exploring internal heifer replacement strategies led to rising rates of Johne’s infection with those with external breeding stock purchases were able to decrease the disease pressure to a low rate. The most important outcome from this study is that cow-calf operations in western Canada can economically control Johne’s disease through early, consistent culling of clinical animals provided these animals are replaced with cows that have a low rate of Johne’s infection. This project was undertaken because the prevalence of Johne’s positive herds is rising in Saskatchewan and the disease is present in both commercial and seedstock operations. The Saskatchewan Stock Growers Association has managed a surveillance and control program with funding from the Saskatchewan Ministry of Agriculture. This research will help to ensure this surveillance investment has maximum effect.

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)0.005
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 score0.090
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.286
Teacher spread0.256 · 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
Published2021
Admission routes1
Has abstractno

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