Prevalence of Fasciolosis in Cattle Farm of Tilottama Municipality, Rupandehi, Nepal
Bibliographic record
Abstract
Fasciolosis is a common parasitic disease affecting cattle and other ruminants, commonly sheep, and caused by Fasciola hepatica and F. gigantica.The disease is cosmopolitan in distribution and can cause extensive economic losses to the farmers.A cross-sectional study was conducted to determine the prevalence of fasciolosis in commercial cattle farms of Tilottama Municipality, Rupandehi district, Nepal.A total of 270 fresh faecal samples were collected purposively from the study area with different ages, sex, stage, and breeds for examination (sedimentation method) to visualize eggs of Fasciola microscopically.The obtained data were coded and analysed using Microsoft Excel 2016.The overall prevalence of fasciolosis in cattle was found to be 15.56%.Age and sex-wise prevalence was found to be statistically significant (P<0.05),while stage and breed-wise prevalence was insignificant (P>0.05).Fasciolosis is prevalent moderately among cattle in Tillottoma municipality, which necessitates the study of detailed epidemiology of the disease and effective control strategies to prevent huge economic losses.
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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 | 0.001 |
| 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".