Associations between measures of network centrality and Johne's disease among dairy herds in Ontario, Canada
Notice bibliographique
Résumé
Mycobacterium avium ssp. paratuberculosis (MAP) is the causative agent for Johne's disease (JD), a chronic, progressive enteritis in ruminants that may lead to substantial weight loss, reduction in milk yield, and eventual death. Due to the very long incubation period of MAP, many cattle are culled before presenting signs of clinical JD infection. Furthermore, poor sensitivity of diagnostic tests results in subclinically infected cattle contributing to the transmission of JD but otherwise going undetected. Therefore, one of the best control measures for JD is preventing MAP from entering the herd altogether. Numerous studies have identified associations between measurements of cattle purchases-referred to in network analysis as measures of ingoing centrality-and the presence of JD in dairy herds, suggesting that prevention of JD can be achieved by limiting cattle purchases. Between 2010 and 2013, the Ontario Johne's Education and Management Assistance Program (OJEMAP) provided JD education and bulk tank milk (BTM) testing for participating dairy producers in Ontario. Part of the OJEMAP education plan included recommendations regarding cattle purchases. These recommendations were to limit cattle purchases and, if necessary, to purchase cattle from a single, test-negative source herd. Self-reported changes in cattle purchasing behavior were included in a pre-, and post-OJEMAP risk assessment. The objectives of this study were (1) to use data provided by Lactanet Canada to create a network of between-herd dairy cow movements during the OJEMAP study period (2010-2013) and of equal timescale post-OJEMAP (2014-2017) to assess changes in movement behavior in response to program recommendations; (2) to determine whether measures of network centrality from the 2014-2017 network are associated with a positive ELISA test sampled from 2017 BTM; and (3) to use a permutation-based approach (network k-test) to determine whether the structure of the cattle movement network is "epidemiologically relevant" to the distribution of high-risk JD herds in Ontario (i.e., whether the distribution of high-risk JD herds was due to the structure of the between-herd dairy cow movement network itself). It was found that OJEMAP participants had a smaller proportion of herds that increased their cow purchases and number of source herds compared with nonparticipant herds. Furthermore, among herds that increased the number of cows purchased, nonparticipants added more cows from more source herds than OJEMAP participant herds. The results from the logistic regression analyses indicated no associations between measures of centrality, including in-degree, ingoing contact chain, and α centrality, and a positive 2017 BTM ELISA test. However, herd size, region of herd, and previous high-risk JD classification were all positively associated with being classified as high-risk for JD. Results from the network k-test suggest that the distribution of high-risk JD herds in 2013 based on BTM ELISA tests were related to the structure of the 2010-2013 between-herd dairy cow movement network. Conversely, the network of between-herd dairy cow movements between 2014 and 2017 was not considered to be epidemiologically relevant to the distribution of high-risk JD herds. The results presented here are at variance with some literature regarding network centrality and JD. It is possible that the effect of JD transmission through movement is masked either by the high prevalence of high-risk JD herds in Ontario in 2017 or by the lag time associated with the progression of disease in MAP-infected cows.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».