Emergence of Zoonotic Myiasis in Vom and Bukuru Metropolis, Jos South LGA, Plateau State, Nigeria
Bibliographic record
Abstract
A study was carried out to establish the emergence of cutanous myiasis with its zoonotic implication in Vom andBukuru metropolis of Jos South Local Government Area of Plateau State. 6 individuals (3 males and 3 females)who were suspected to have boils on their skin were diagnosed to be 100% infested with the larvae ofCordylobia anthropophaga. Similarly, in an investigation of dogs, out of 510 dogs examined in EvangelicalChurch of West Africa and NVRI Veterinary clinics, 47(9.2%) dogs had larvae in their cutanous tissues. Of 300dogs from ECWA vet clinic 31 (10.3%) were positive, while 16 (7.6%) were positive from 210 dogs screened inNVRI vet clinic. All results were statistically significant at P< 0.05. In comparism, the larvae extracted fromhuman and dogs were all identified to be of Cordylobia anthropophaga. Of 184 Alsatian 13(7.1%) were positive,of 258 Mongrel 27(10.5%) were positive, 3(21.4%) among 14 Doberman were positive and of 54 Rottweiler4(7.4%) were positive. Out of the 47 positive cases, 31(66.0%) were female while 16 (34%) were males. Amongthe female positive cases Mongrel showed a prevalence of 18(58.1%). Infestation in July showed a highoccurrence of 22(46.8%). Secondary bacterial infection was encountered in two cases of human infestation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".