Brooks-Pollock E, de Jong M C M, Keeling M J, Klinkenberg D, Wood J L N
Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.
Department of Quantitative Veterinary Epidemiology, Wageningen University, P.O. Box 338, 6700 AH Wageningen, Netherlands.
Epidemics. 2015 Mar;10:1-5. doi: 10.1016/j.epidem.2014.08.005. Epub 2014 Aug 26.
The transmission of infectious diseases of livestock does not differ in principle from disease transmission in any other animals, apart from that the aim of control is ultimately economic, with the influence of social, political and welfare constraints often poorly defined. Modelling of livestock diseases suffers simultaneously from a wealth and a lack of data. On the one hand, the ability to conduct transmission experiments, detailed within-host studies and track individual animals between geocoded locations make livestock diseases a particularly rich potential source of realistic data for illuminating biological mechanisms of transmission and conducting explicit analyses of contact networks. On the other hand, scarcity of funding, as compared to human diseases, often results in incomplete and partial data for many livestock diseases and regions of the world. In this overview of challenges in livestock disease modelling, we highlight eight areas unique to livestock that, if addressed, would mark major progress in the area.
除了控制的最终目的是经济方面，且社会、政治和福利限制的影响往往界定不清之外，家畜传染病的传播在原则上与其他任何动物的疾病传播并无不同。家畜疾病建模同时面临数据丰富和数据匮乏的问题。一方面，进行传播实验、详细的宿主内研究以及追踪地理编码位置之间的个体动物的能力，使家畜疾病成为揭示传播生物学机制和对接触网络进行明确分析的特别丰富的现实数据潜在来源。另一方面，与人类疾病相比，资金稀缺往往导致世界上许多家畜疾病和地区的数据不完整且片面。在这篇家畜疾病建模挑战概述中，我们强调了家畜特有的八个领域，如果这些领域得到解决，将标志着该领域取得重大进展。
