Disease Control on Dairy Farms with a Focus on Johne's Disease and Veterinary Communication
Notice bibliographique
Résumé
Motivating dairy farmers to implement disease prevention and control strategies can be challenging. The first objective of this thesis was to assess factors that influence farmers’ management decisions. A literature review was conducted focusing on socio-psychological influences and farmers’ preferred information sources. Additionally, surveys and qualitative interviews with Alberta dairy farmers contributed to the current knowledge by assessing farmers’ attitudes, beliefs, and perceptions in regard to the prevention and control of Johne’s disease, an infectious enteritis that is caused by Mycobacterium avium subsp. paratuberculosis (MAP) and is endemic in Canadian dairy cows. Environmental fecal samples were analyzed for MAP to assess whether farm infection status influenced farmers’ decision to enroll in the voluntary Alberta Johne’s Disease Initiative (AJDI). Observed herd prevalence of MAP (i.e., 51%) was similar between AJDI participants and nonparticipants. Results further indicated that farmers have to believe in the importance of the disease and in recommended prevention and control strategies to make changes. In Alberta, the reasons why farmers did not participate in the AJDI or implemented recommended measures included skepticism of the threat and negative effects of Johne’s disease, critique of test sensitivity, required time, and costs. Farmers used a variety of information channels, but herd veterinarians had a major influence on their management. Veterinarians are in an ideal position to communicate and motivate recommended strategies targeted to each farm, and it is well established that effective communication skills can improve adherence with advice and health outcomes. Therefore, the second objective was to assess veterinary communication patterns. First, the suitability of on-farm video recordings for comprehensive communication analysis using the Roter Interaction Analysis System was demonstrated. Then, veterinary communication during 70 dairy farm visits was assessed. Veterinarians spent most of their talk on farmer education and relationship building. Demographics such as gender and length of the professional veterinarian-farmer relationship affected the use of some communication variables, whereas the effect of previous communication training was minimal. Identification of influences on farmers’ management decisions and of veterinary communication patterns can reveal opportunities to enhance communication, thus improving the uptake of prevention and control measures.
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 ».