Spatial and temporal dynamics of rabies virus variants in big brown bat populations across Canada: footprints of an emerging zoonosis
Bibliographic record
Abstract
Phylogenetic analysis of a collection of rabies viruses that currently circulate in Canadian big brown bats (Eptesicus fuscus) identified five distinct lineages which have emerged from a common ancestor that existed over 400 years ago. Four of these lineages are regionally restricted in their range while the fifth lineage, comprising two-thirds of all specimens, has emerged in recent times and exhibits a recent demographic expansion with rapid spread across the Canadian range of its host. Four of these viral lineages are shown to circulate in the US. To explore the role of the big brown bat host in dissemination of these viral variants, the population structure of this species was explored using both mitochondrial DNA and nuclear microsatellite markers. These data suggest the existence of three subpopulations distributed in British Columbia, mid-western Canada (Alberta and Saskatchewan) and eastern Canada (Quebec and Ontario), respectively. We suggest that these three bat subpopulations may differ by their level of female phylopatry, which in turn affects the spread of rabies viruses. We discuss how this bat population structure has affected the historical spread of rabies virus variants across the country and the potential impact of these events on public health concerns regarding rabies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".