First record of locally acquired human babesiosis in Canada caused by <i>Babesia duncani</i> : a case report
Bibliographic record
Abstract
Objectives: The aim of this clinical assessment was to ascertain whether a 70-year-old Canadian patient, who had no history of out-of-country travel, had contracted a Babesia infection. Methods: The adult human male developed constitutional symptoms, which included sweats, chills, and immobilizing fatigue, and was screened for human babesiosis. Subsequent testing included a complete Babesia panel that consisted of B. microti immunoflourescent antibody IgM and IgG, B. duncani immunofluorescent antibody IgM and IgG, Babesia PCR, and Babesia fluorescent in situ hybridization (FISH) test. Results: Both the IgM serology and the molecular FISH RNA probe were positive for B. duncani; all tests for B. microti were negative. Based on clinical symptoms and laboratory tests, the patient was diagnosed with human babesiosis. Interestingly, the patient’s wife also was confirmed positive using serological and molecular testing. Conclusions: This is the first report of a locally acquired case of human babesiosis in Canada caused by Babesia duncani. The geographical distribution of B. duncani in North America is much greater than previously anticipated, especially north of the Canada-United States border. Since the patient was bitten by a blacklegged tick, Ixodes scapularis, a carrier of multiple zoonotic pathogens, the author suggests that this tick species is a vector of B. duncani. Health-care providers must be aware that B. duncani is present in Canada, and poses a public health risk.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".