Sickness Rate of Service Dogs in Cynological Centers of Ukraine
Notice bibliographique
Résumé
Service dogs are an important asset of law enforcement agencies. Therefore, understanding their medical problems, knowing general characteristics such as numbers, age, breed, gender, and purpose is crucial to maintaining their health and readiness to perform complex tasks. Analysis and dissemination of such information is an urgent task for specialists and scientists dealing with the problems of keeping, providing, and veterinary care for service dogs. The purpose of this study was to analyse the results of statistical reports on the incidence of service dogs from 24 regional canine centres of law enforcement agencies of Ukraine. In total, data on 822 service dogs and records of 839 cases of diseases were considered. Data on the number, age, gender, and direction of use of service dogs were also analysed. It was found that internal non-contagious ailments were identified among the diseases. Most of the problems were with the gastrointestinal tract: dyspepsia, alimentary enteritis, and gastritis. It was found that among the diseases of the visual and hearing organs, otitis media and cataracts were most often detected. Traumatic injuries accounted for 16.7% of all records, most of which were classified as wounds. It was found that every seventh disease was related to the skin. Among them, two diseases had a considerable predominance: dermatitis and eczema. Another group was detected with a frequency of more than 5% – parasitic diseases, of which babesiosis was the most common. The study also found that one in twenty animals had diseases of the musculoskeletal system, of which arthritis and hip dysplasia were mainly found. Statistical calculations have shown heterogeneity in the distribution density of dogs, both in relation to the population and the area of the region. Chernivtsi Oblast had the best density indicators, and Zhytomyr Oblast had the lowest. Among service dogs, females have an advantage – sexual differentiation was 1/1.15. An even distribution of the number of service dogs by age was found, ranging from 2 to 7 years, with a weighted average age of 4.9 years. The most common breeds were: German and Belgian shepherds, as well as Labrador. Special and search dogs prevailed for their intended purpose. The practical value of this study lies in the fact that certain patterns of morbidity of service dogs provide an opportunity to change the strategy of their selection, training, and treatment to use this valuable resource more effectively.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».