Dutch bovine viral diarrhea virus control program: Evaluation 2018-2023
Bibliographic record
Abstract
Since 2018, Dutch dairy farmers have been obliged to opt for 1 of 4 routes to achieve bovine viral diarrhea virus (BVDV) freedom in the national BVDV eradication program. This observational study evaluated efficacy of the total BVDV program using indicators such as the number of persistently infected (PI) cattle, the percentage of dairy herds with a BVDV-free status, and the percentage of BVDV-free dairy herds with evidence of introduction of BVDV, as well as a cost calculation per route. The Dutch BVDV program appeared to successful, as the percentage of BVDV-free dairy herds increased from 59% at the start of the program to 89% by the end of 2023. The number of PI detected each quarter declined from 500 PI in the third quarter of 2019 to PI in the last quarter of 2023. The percentage BVDV-free dairy herds with evidence of (re)introduction of BVDV decreased from 1.29% per quarter in the first year of the mandatory program to 0.25% per quarter by the end 2023. In Europe, BVDV control program designs are often tailored to the country's specific situation, such the prevalence at the start of eradication, risk profile of country or herd, desired speed of eradication, and available funds. These results show that the Dutch approach, in which multiple routes can be followed toward BVDV freedom, is successful.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".