Detection of Anaplasma phagocytophilum, Babesia odocoilei, Babesia sp., Borrelia burgdorferi Sensu Lato, and Hepatozoon canis in Ixodes scapularis Ticks Collected in Eastern Canada
Bibliographic record
Abstract
Tick-borne pathogens cause infectious diseases that inflict much societal and financial hardship worldwide. Blacklegged ticks, Ixodes scapularis, are primary vectors of several epizootic and zoonotic pathogens. The aim was to find varius pathogens of I. scapularis and to determine their prevalence. In Ontario and Quebec, 113 I. scapularis ticks were collected from songbirds, mammals, including humans, and by flagging. PCR and DNA sequencing detected five different microorganisms: Anaplasma phagocytophilum, 1 (0.9%); Babesia odocoilei, 17 (15.3%); Babesia microti-like sp., 1 (0.9%); Borrelia burgdorferi sensu lato (Bbsl), 29 (26.1%); and Hepatozoon canis, 1 (0.9%). Five coinfections of Bbsl and Babesia odocoilei occurred. Notably, H. canis was documented for the first time in Canada and, at the same time, demonstrates the first transstadial passage of H. canis in I. scapularis. Transstadial passage of Bbsl and B. odocoilei was also witnessed. A novel undescribed piroplasm (Babesia microti-like) was detected. An established population of I. scapularis ticks was detected at Ste-Anne-de-Bellevue, Quebec. Because songbirds widely disperse I. scapularis larvae and nymphs, exposure in an endemic area is not required to contract tick-borne zoonoses. Based on the diversity of zoonotic pathogens in I. scapularis ticks, clinicians need to be aware that people who are bitten by I. scapularis ticks may require select antimicrobial regimens.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".