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Dr. Hala Gamal Ali Ali El Daous :: Publications:

Title:
Quantitative Risk Assessment for the Introduction of Bovine Leukemia Virus-Infected Cattle Using a Cattle Movement Network Analysis
Authors: 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,*
Year: 2020
Keywords: bovine leukemia virus; enzootic bovine leukosis; animal movement network analysis; cattle introduction; quantitative risk assessment
Journal: pathogens
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: MDPI
Local/International: International
Paper Link: Not Available
Full paper Hala Gamal Ali Ali_pathogens-09-00903.pdf
Supplementary materials Not Available
Abstract:

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.

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