Studies on the Prevalence and Distribution of Parasites of Tilapia Fish (<i>Oreochromis niloticus</i>) from Igbokoda River, Ondo State, Nigeria
Bibliographic record
Abstract
Fish parasite cause high mortality and lower the general health of fish, thus reducing the economic value and leading to zoonotic disease. This study is to determine the prevalence of end parasite of Nile Tilapia ( Oreochromis niloticus ) sold for consumption at Igbokoda River, Ilaje Local Government area of Ondo State. Fish purchased from Igbokoda was transported to the Department of Biology Laboratory, FUTA, and was sacrificed, measure and dissected to reveal the vital organ for parasite examination. Of the 200 sample of Tilapia examined, 84 (42%) were infected. The most prevalent parasite was Diphyllobothrium latum with prevalence of 32 (38%) followed by Camallanus 20 (23.8%), Gnathostoma spinigerum 14 (16.67%), Procamallanus 10 (11.9%) and Clinostomum with the lowest prevalence of 8 (9.52%). Fish with body weight greater than 300g and those having longer length were more infected and have the highest prevalence of 100% and 24 (60%) respectively. There was significance between the weight and length of the fish with respect to the fish parasite prevalence (P < 0.05). thus this study reveal that fish parasite is still prevent in the study area and as such urgent control intervention should be designed to curb these parasites.
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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".