Institute for Geophysics, University of Münster, Corrensstrasse 24, Münster 48149, Germany.
Epidemics. 2010 Dec;2(4):195-206. doi: 10.1016/j.epidem.2010.08.001. Epub 2010 Sep 8.
The susceptibility of the English and Welsh fish farming and fisheries industry to emergent diseases is assessed using a stochastic simulation model. The model dynamics operate on a network comprising directed transport and river contacts, as well as undirected local and fomite transmissions. The directed connections cause outward transmission risk to be geographically more confined than inward risk. We consider reactive, proactive, and hybrid methods of control which correspond to a mixture of policy and the ease of disease detection. An explicit investigation of the impact of laboratory capacity is made. General quantified guidelines are derived to mitigate future epidemics.
利用随机模拟模型评估英国水产养殖和渔业行业对新发疾病的易感性。该模型的动态作用于一个由有向运输和河流接触以及无向本地和媒介传播组成的网络上。有向连接使向外传播的风险在地理上比向内传播的风险更为局限。我们考虑了反应性、主动性和混合控制方法,这些方法对应于政策和疾病检测容易程度的混合。对实验室能力的影响进行了明确的调查。得出了减轻未来流行病的一般量化指南。