A field trial evaluation of the prophylactic efficacy of amitraz-impregnated collars against canine babesiosis (Babesia canis rossi) in South Africa
Bibliographic record
Abstract
South African canine babesiosis caused by Babesia canis rossi is a common clinical disease in dogs in South Africa and remains a significant cause of domestic dog mortality. To determine whether tick-repellent, 9% amitraz-impregnated tick collars (Preventic-Virbac) could prevent tick-borne exposure to B. canis rossi, 50 dogs were assigned to two groups. Group 1 (20 dogs), polymerase chain reaction (PCR)--and reverse line blot (RLB)-negative for B. canis rossi, were fitted with amitraz collars and blood samples collected monthly, over a 6-month period, and analysed for B. canis rossi. Group 2 (30 dogs) included 5 dogs selected on a month-by-month basis from a population of dogs from the same geographical area as the group 1 dogs, but with no history of previous tick control, which were blood-sampled together with the treatment group and analysed for B. canis rossi by PCR and RLB, to serve as the control group. Eight of the 30 control dogs (26.6%) were PCR/RLB positive for B. canis rossi, indicating high pathogen exposure during the trial period. All twenty of the treatment group dogs remained negative for B. canis rossi throughout the 6 months of the trial. These results suggest that the use of amitraz-impregnated collars had a significant effect on reducing infection with B. canis rossi.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".