Various small mammal hosts are involved in the transmission cycle of zoonotic Anaplasma phagocytophilum in Southeastern Canada
Bibliographic record
Abstract
Human granulocytic anaplasmosis (HGA) is a tick-borne disease emerging in North America, caused by the zoonotic variant Ap-ha (human active) of the bacterium Anaplasma phagocytophilum. This research aimed to understand the reservoir competency of small mammals for Ap-ha in the province of Québec, Canada. To achieve this aim, wild small mammals were sampled from June to August in 2022 and 2023 and tested for Ap and its variants (Ap-ha, Ap-v1) using qPCR targeting the msp2 and 16S genes. In total, 547 small mammals from nine different taxa were live captured across two years. Nearly half (48.2 %) of small mammals carried at least one Ixodes scapularis tick larva and 29.3 % carried at least one I. scapularis nymph. The odds of Ap infection were three times higher in eastern chipmunks (OR = 2.98, p < 0.05) and five times lower in red squirrels (OR = 0.21, p < 0.01) when compared to Peromyscus spp. mice. When infected, Peromyscus mice and eastern chipmunks transmitted the infection on average to 6.8 % (CI95: 24.9-48.7) and 52.9 % (CI95: 16.7-89.1) of feeding larvae, respectively. An Ap variant could be identified in 90 % (109/121) of infected small mammals, all of which were the Ap-ha strain. In conclusion, eastern chipmunks and Peromyscus mice should be considered as reservoir hosts contributing to the transmission and emergence of anaplasmosis in Canada. This study also confirms the circulation of the Ap-ha variant within host and tick communities in Southeastern Canada.
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".