Eight challenges in modelling infectious livestock diseases

被引:58
作者
Brooks-Pollock, E. [1 ]
de Jong, M. C. M. [2 ]
Keeling, M. J. [3 ]
Klinkenberg, D. [4 ]
Wood, J. L. N. [1 ]
机构
[1] Univ Cambridge, Dept Vet Med, Dis Dynam Unit, Cambridge CB3 0ES, England
[2] Wageningen Univ, Dept Quantitat Vet Epidemiol, NL-6700 AH Wageningen, Netherlands
[3] Univ Warwick, Math Inst, Coventry CV4 7AL, W Midlands, England
[4] Univ Utrecht, Fac Vet Med, NL-3584 CL Utrecht, Netherlands
基金
英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会; 美国国家卫生研究院;
关键词
Challenges; Livestock diseases; Mathematical modelling; Data-driven modelling; Modelling for policy; MOUTH-DISEASE; BOVINE TUBERCULOSIS; VIRUS TRANSMISSION; DYNAMIC-MODEL; UK FOOT; CATTLE; EPIDEMIC; IMPACT; INTERVENTIONS; NETWORK;
D O I
10.1016/j.epidem.2014.08.005
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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. (C) 2014 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1 / 5
页数:5
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