Network analysis of cattle movements in Uruguay: Quantifying heterogeneity for risk-based disease surveillance and control
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- 作者：Kimberly L. VanderWaala ; kvw@umn.edu" class="auth_mail" title="E-mail the corresponding author ; Catalina Picassoa ; b ; picas001@umn.edu" class="auth_mail" title="E-mail the corresponding author ; Eva. A Ennsc ; eenns@umn.edu" class="auth_mail" title="E-mail the corresponding author ; Meggan E. Crafta ; craft@umn.edu" class="auth_mail" title="E-mail the corresponding author ; Julio Alvareza ; jalvarez@umn.edu" class="auth_mail" title="E-mail the corresponding author ; Federico Fernandezb ; FFernandez@mgap.gub.uy" class="auth_mail" title="E-mail the corresponding author ; Andres Gild ; adgr@adinet.com.uy" class="auth_mail" title="E-mail the corresponding author ; Andres Pereza ; aperez@umn.edu" class="auth_mail" title="E-mail the corresponding author ; Scott Wellsa ; wells023@umn.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Disease risk ; Livestock movement ; Pathogen transmission ; Social network analysis ; Surveillance
- 刊名：Preventive Veterinary Medicine
- 出版年：2016
- 出版时间：1 January 2016
- 年：2016
- 卷：123
- 期：Complete
- 页码：12-22
- 全文大小：1522 K
文摘
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This is the first in-depth analysis of farm-level livestock movements in South America.
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Network analysis was used to quantify movement patterns of cattle in Uruguay.
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The 10% most connected farms accounted for >70% of animals moved.
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The network exhibited scale-free properties, indicating the presence of super-spreaders.
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Some farm types, such as dairies, may be disproportionately important for pathogen spread.