The Prevalence of Fascioliasis among Slaughtered Cattle in Akure, Nigeria
Bibliographic record
Abstract
This study was undertaken in Akure, Ondo State to determine the prevalence of fascioliasis among slaughtered cattle in Akure metropolis. The faecal samples of the slaughtered cattle were examined for the eggs and adult of the Fasciola spp using flotation method and viewed with X40 magnification of binocular microscope. Examination of the adult flukes from the infected liver was done by making length wise incisions of the ventral side of the liver in order to cut open the bile duct. Of the 905 male and female slaughtered cattle examined for fascioliasis infection in the study area, a total prevalence of 7.07% (n=64) was observed. Prevalence of the disease between genders revealed that the female cattle were more susceptible (8.53%) to the disease than the male cattle (5.73%). F. gigantica was identified to be the most predominant species in the study area with prevalence of 84.38% compare to F. hepatica (1.56%). This study indicated that prevalence of fascioliasis is low in the study area but there is still need for adequate environmental and veterinary health enlightenment programmes about this infection to completely eradicate the disease and further improve the quality of meat supply to the consumers.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".