Efficacy and Safety of Topical Fipronil 1% and Deltamethrin 0.1% in Water Buffaloes (Bubalus bubalis) Naturally Infested by Haematopinus tuberculatus
Bibliographic record
Abstract
Haematopinus tuberculatus is the main arthropod affecting buffaloes around the world. It causes intense itching and restlessness, altering feeding habits, thus reducing animal productivity. This parasitosis is seldom studied, as it does not lead to significant animal mortality or financial losses. In this project, we evaluated the efficacy and safety of two commercially available products for control of pediculosis in naturally infested buffaloes. A total of 24 milk producing, clinically healthy female buffaloes that were naturally infested by lice were included in this study. Animals were equally distributed into two groups: group 1 was treated with a single dose of pour on Fipronil (1%, Carval de Colombia, 1 ml of product per 10 kg of live weight). Group 2 was treated with a single dose of deltamethrin (5%, Bioara, SA), at a final concentration of 0,1% applied with an aspersion pump as a single bath of 4 liters of diluted solution per animal. Lice were counted weekly from day 1 to day 58 post-treatment. Up to day 23 post-treatment, no significant differences in efficacy were observed between products.Fipronil 1% consistently exhibited an efficacy above 70% from day 8 and until 30 day of the study. These results suggest that both products are efficient and safe to control lice infestations in buffaloes. However, fipronil 1% exhibited a greater residual effect, which reduces the number of baths required to treat infested animals, and reduces the probability of selecting for drug-resistant lice populations
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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 | 0.000 | 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) | 0.001 | 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".