Role of wild animals in epizootology of infectious diseases inYakutia
Bibliographic record
Abstract
It is known that wild animals and birds can be reservoirs and carriers of many infectious diseases of animals and humans. A cadastre of disadvantaged anthrax settlements was developed based on the study of epizootology, which will help optimize epizootological and epidemiological measures for the prevention of anthrax in animals (wild and domestic) and the population. We first identified yersinia (Yersinia enterocolitica and Yersinia pseudotuberculosis) from the material for shooting moose and roe deer living in the Central zone of Yakutia. Antibodies to the serogroups Leptospira Pomona, Grippotyphosa, and Icterohaemorrhagiae serogroups were detected in forest bisons exported from Canada to Yakutia for acclimatization. We developed a method for sampling frozen urine with snow at low temperatures (minus 10-50 ?С) to diagnose leptospirosis of wild animals and dogs, in places of natural habitat of wild mammals (without seizure and capture). The bactericidal effect of the probiotic strains of bacteria Bacillus subtilis TNP-3 and TNP-5 on the causative agent of leptospirosis of various serological groups has been established. The methods are protected by the Russian Federation patents for the invention. There was marked disease and mortality of roe deer from salmonellosis caused by Sal. abortus equi. There has been established the circulation of viruses of infectious rhinotracheitis, diarrhea in the deer population of the Arctic regions, the causative agents of which may be migratory birds and animals of the disadvantaged settlements. In the period of intensive exploration of Actica, climate warming and changes in the fauna, the migration routes of wild animals and birds, growing threat of zoonoses it is necessary to conduct large-scale monitoring of infections, especially viral diseases.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".