أعضاء هيئة التدريس - جامعة بنها
Quantitative Risk Assessment for the Introduction of Bovine Leukemia Virus-Infected Cattle Using a Cattle Movement Network Analysis
pathogens • 2020
معلومات البحث
المؤلفون
Kosuke Notsu 1, Anuwat Wiratsudakul 2,3, Shuya Mitoma 1, Hala El Daous 1,4, Chiho Kaneko 5,
Heba M. El-Khaiat 4, Junzo Norimine 5,6 and Satoshi Sekiguchi 5,6,*
الكلمات المفتاحية
bovine leukemia virus; enzootic bovine leukosis; animal movement network analysis;
cattle introduction; quantitative risk assessment
المجلة العلمية
pathogens
الناشر
MDPI
المجلد
Not Available
العدد
Not Available
الصفحات
Not Available
publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
The cattle industry is suffering economic losses caused by bovine leukemia virus (BLV)
and enzootic bovine leukosis (EBL), the clinical condition associated with BLV infection. This
pathogen spreads easily without detection by farmers and veterinarians due to the lack of obvious
clinical signs. Cattle movement strongly contributes to the inter-farm transmission of BLV. This
study quantified the farm-level risk of BLV introduction using a cattle movement analysis. A
generalized linear mixed model predicting the proportion of BLV-infected cattle was constructed
based on weighted in-degree centrality. Our results suggest a positive association between weighted
in-degree centrality and the estimated number of introduced BLV-infected cattle. Remarkably, the
introduction of approximately six cattle allowed at least one BLV-infected animal to be added to the
farm in the worst-case scenario. These data suggest a high risk of BLV infection on farms with a
high number of cattle being introduced. Our findings indicate the need to strengthen BLV control
strategies, especially along the chain of cattle movement.
and enzootic bovine leukosis (EBL), the clinical condition associated with BLV infection. This
pathogen spreads easily without detection by farmers and veterinarians due to the lack of obvious
clinical signs. Cattle movement strongly contributes to the inter-farm transmission of BLV. This
study quantified the farm-level risk of BLV introduction using a cattle movement analysis. A
generalized linear mixed model predicting the proportion of BLV-infected cattle was constructed
based on weighted in-degree centrality. Our results suggest a positive association between weighted
in-degree centrality and the estimated number of introduced BLV-infected cattle. Remarkably, the
introduction of approximately six cattle allowed at least one BLV-infected animal to be added to the
farm in the worst-case scenario. These data suggest a high risk of BLV infection on farms with a
high number of cattle being introduced. Our findings indicate the need to strengthen BLV control
strategies, especially along the chain of cattle movement.