Occurrence and distribution of Ambylomma americanum as determined by passive surveillance in Ontario, Canada (1999–2016)
Bibliographic record
Abstract
The lone star tick, Amblyomma americanum, is spreading northward from its historical stronghold in the southeastern United States. As a vector and biting pest, public and veterinary health officials must remain vigilant of the lone star tick's expanding range. We use ticks submitted to Public Health Ontario Laboratory (1999-2016) to describe the spatial and temporal dynamics of A. americanum in Ontario, Canada, as well as submitter demographics. We identified 847 A. americanum submissions during the surveillance period, with 773 (91.3%) non-travel-related and 74 (8.7%) travel-related submissions. Annual A. americanum submissions increased over the surveillance period. Approximately 91% of non-travel-related submissions were adult ticks and 9% were nymphs. The highest submission rates were from individuals living in the Eastern and South West regions of the province. Adult specimens were primarily submitted from May through July and nymphs from March through September. Higher numbers of submissions were from young children (<10 years) and older adults (55-74 years), with equal proportions of male and female submitters. The majority of travel-related submissions were from travellers returning from the southeastern United States (i.e., Florida, North Carolina, South Carolina, Tennessee, Texas). Amblyomma americanum distribution is scattered in Ontario and submissions are likely the consequence of ongoing detection of adventive specimens. Further tick dragging is required to confirm the presence of established lone star tick populations in the province. Given the relatively rapid expansion of blacklegged ticks, Ixodes scapularis, populations in Ontario, we expect climate change to facilitate the range of expansion of A. americanum into the province. We propose an algorithm for identifying A. americanum-risk areas, which will aid public and veterinary health officials when assessing the risks posed by lone star ticks.
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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 | 0.001 |
| 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".