Susceptibility of Anopheles Mosquitoes to Insecticides Used In Busia and Tororo Districts, Eastern Uganda
Bibliographic record
Abstract
Abstract This study assessed the susceptibility of Anopheles mosquitoes to LLINs and IRS as vector control interventions used in Tororo and Busia district. Samples of Anopheles mosquito larvae were collected from various breeding grounds and reared in an insectary. Emerged adults were dissected under a stereoscopic microscope and identified using standardized morphological keys after respective bioassays on used LLINs and sprayed walls. A One-Way Analysis of Variance (ANOVA) was used to test for significant differences in the mean composition of mosquito species across the study area, mean variations, mortalities by net and wall type. Results showed that the Anopheles gambiae sensu lato revealed a higher mean of 78.33 ± 41.52, compared to Anopheles funestus (16.42 ± 24.87) which was lonely found in Busia district. Out of four brands of nets tested for insecticides susceptibility, 99% mortality was recorded for the insecticide concentration of 80 mg/m2 deltamethrin impregnated DAWA plus 2.0 nets. PermaNet 3.0 and Olyset recorded mortality rate of 95% and 93% at chemical concentrations of 50 mg/m2 and 525 mg/m2 permethrin respectively. PermaNet 2.0 recorded 67% mortality at 55 mg/m2 permethrin. The average number of Anopheles mosquitoes were more susceptible to 12.5 mg/m2 of Fludora fusion impregnated onto plastered painted walls at a rate of 100% as compared to the other types of walls after 2 weeks (6.86 ± 4.07) and 1 month of chemical spray (6.69 ± 4.01) varied insignificantly (t = 0.175, P = 0.861). Meanwhile, a disaggregated results by time of spray (T0 and T1) and exposure periods, showed that plastered painted wall, had higher mortalities followed by Brick Plain and Mud/Wattle wall substrates, respectively. This study has shown that vector behavior, biology and physiology need consistent monitoring and surveillance for further entomological characterization and the need for coming up with new vector control interventions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".