Climate changes and the hemoprotozoan diseases in domestic animals: A retrospective study
Bibliographic record
Abstract
Due to climatic changes the density of the tick populations increasing day by day along with the disease incidences. These studies were carried out during the years 2019-24 in and around Jaipur city, Rajasthan State, India in organized farm sectors. These retrospective comprehensive studies net results discussed in this part revealed the prevalence of various tick population as major pathogen vectors in various domesticated animal populations which included Dermacenter, Hyalomma, Hemophysalis, Ixodes and Rhipicephalus species. Con-current infection of Theileria annulata, Anaplasma marginale & Ehrlichia bovis followed by Anaplasma marginale & Ehrlichia bovis in Holstein-Friesian cows, Babesia & Theileria in buffaloes, Theileria annulata, Anaplasma marginale & Ehrlichia ovis in sheep and goats were observed. The studies on canine population showed combinations of Anaplasma marginale & Babesia gibsoni in Pomeranian, E.canis & B.gibsoni in German sphered, Anaplasma phagocytophilum & Anaplasma platys & Babesia canis and Babesia gibsoni in Labrador dogs, Babesia gibsoni & Eimeria exigua in felines and Babesia gibsoni, Anaplasma marginale & Trypanosome cruzei infections in equines. The outcome of the studies on the prevalence of tick population, the hemoprotozoan diseases caused by the ticks, and their hemato-biochemical parameter alterations occurred in the infected animal population were correlated with the climatic conditions. The attributed reasons for the development of density population of the pathogen vectors and the concomitant infections of the hemoprotozoans in domestic animal populations’ in the varying climatic conditions with their hemato-biochemical alterations discussed.
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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 | 0.000 | 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".