Quantifying Spatio-Temporal Overlap of Invasive Wild Pigs and Domestic Pig Farms as a Proxy for Potential Disease Transmission Risk
Bibliographic record
Abstract
Abstract Direct and indirect interactions between livestock and free-ranging wildlife creates important risks to animal health and agricultural productivity. The interface between newly established and rapidly spreading invasive wild pigs and the 2,549 domestic pig farms on the Prairie Provinces of western Canada has created important but poorly understood disease transmission risks. We mapped the spatial overlap of wild and domestic pigs to identify the areas of highest risk and associated distribution of diseases of concern using databases of wild pig occurrences and domestic pig farm locations. We also examined spatial and temporal overlap at the individual farm scale using GPS collared invasive wild pigs. Across the provinces of Alberta, Saskatchewan, and Manitoba, spatial overlap of invasive wild pigs with all combined, large-scale domestic pig farms, small-scale domestic pig farms, and domestic wild boar farms was 21%, 21%, 21%, and 53%. Invasive wild pig locations were significantly closer to domestic pig farms and domestic wild boar farms compared to random points on the landscape. The number of wild pig occurrences was greatest within 20 km of domestic pig farms and decreased linearly as distance increased. The Canadian distribution of wild pigs had considerable spatial overlap with recent areas detected with bovine tuberculosis (6,002 km 2 ) in livestock and wildlife and Chronic Wasting Disease (156,159 km 2 ) in wildlife, including mule deer, white-tailed deer, elk, and moose. The single best predictor of invasive wild pig occurrences across the landscape was close proximity to current or recently past existing domestic wild boar farms. The distance of GPS- collared wild pigs was significant for sex, farm type, month, and season and in southeastern Saskatchewan, average distance to domestic pig farms was 5.3 km. The weighted sum of cover type proportions, wild pig distance to domestic pig and wild boar farms, farm type, and farm density identified the relative risk of wild pig presence associated to each domestic pig farm occupied watershed. Risk was highest for small-scale domestic pig farms and lowest for large- scale domestic pig farms. Our findings highlight important potential routes for disease transmission at the invasive wild pig-domestic pig interface and identify areas where biosecurity improvements are urgently needed. While complete eradication of invasive wild pigs in Canada is no longer achievable, improved passive and active monitoring and removal of wild pigs is critical, especially where risks to domestic pig herds is highest.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".