A review of bovine tuberculosis transmission risk in European wildlife communities
Bibliographic record
Abstract
Abstract Understanding how disease moves through wildlife communities is essential to managing outbreaks of zoonotic diseases across the globe. Bovine tuberculosis is a disease caused by the bacterium Mycobacterium bovis that can threaten domestic and wildlife species. The mechanism by which Mycobacterium bovis is spread between species is still poorly understood. Previous reviews are limited in the breadth of species considered and are primarily concerned with transmission from wildlife to domestic species. We conducted a review and analysis of Mycobacterium bovis prevalence rates in European wildlife species to identify species of concern for the transmission of bovine tuberculosis in a wildlife community. We subsequently conducted a narrative review of these species assessing the risk of Mycobacterium bovis transmission in a wildlife community based on available literature. We calculated weighted mean disease prevalence rates to be highest in fallow deer ( Dama dama , 20%), Eurasian badgers ( Meles meles , 11%), wild boar ( Sus scrofa , 9%) and red foxes ( Vulpes vulpes , 4%). We considered these species to be of particular concern for the transmission of Mycobacterium bovis and selected them as the focus of our narrative review and risk assessment. Our risk assessment considered disease pathology, spatiotemporal activity patterns and animal behaviour as factors affecting the likelihood of Mycobacterium bovis transmission between wildlife species. We found that prior research has principally focused on a few individual species, but that Mycobacterium bovis transmission through a wildlife community is likely more complex. We determined that disease transmission between multiple species may compound the severity of an outbreak of bovine tuberculosis. Broad, multi‐species sampling campaigns and standardised Mycobacterium bovis testing protocols should be implemented in future studies. We also determined that an in‐depth analysis of spatiotemporal overlap between species was needed to better assess the risk of transmission between wildlife species.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.012 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".