Using <i>Bacillus thuringiensis</i> var. <i>israelensis</i> to Control Mosquito Larvae in Aquaculture (<i>Aedes</i> spp.): An Ecological Control Strategy
Bibliographic record
Abstract
As the threat of mosquito-transmitted diseases to public health continues to intensify, the search for environmentally friendly methods of mosquito control has become a hot topic of research. Bacillus thuringiensis var. israelensis ( Bti ), an efficient biocontrol agent, has garnered widespread attention for its role in controlling mosquito larvae in aquaculture environments. This study provides a comprehensive overview of Bti 's application strategies, ecological and environmental impacts, challenges, and management approaches, aiming to evaluate its potential as a sustainable strategy for mosquito larva control in aquaculture. The study analysis reveals that Bti exhibits excellent performance in controlling specific mosquito species, yet it also raises concerns such as potential impacts on non-target organisms, the development of resistance, and application costs. There is a need to further enhance the efficiency of Bti 's application, explore strategies to mitigate resistance development, and conduct long-term environmental impact assessments. Furthermore, given that a single control method often falls short in addressing complex ecological issues, a comprehensive mosquito management strategy is particularly crucial. Through this in-depth analysis, we aim to provide robust theoretical support for ecological mosquito control in aquaculture and offer new ideas and directions for public health protection efforts.
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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 | 0.001 | 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".