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The Influence of Between-Farm Distance and Farm Size on the Spread of Classical Swine Fever during the 1997–1998 Epidemic in The Netherlands

机译:农间距离和农场规模对荷兰1997-1998年流行期间猪瘟传播的影响

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摘要

As the size of livestock farms in The Netherlands is on the increase for economic reasons, an important question is how disease introduction risks and risks of onward transmission scale with farm size (i.e. with the number of animals on the farm). Here we use the epidemic data of the 1997–1998 epidemic of Classical Swine Fever (CSF) Virus in The Netherlands to address this question for CSF risks. This dataset is one of the most powerful ones statistically as in this epidemic a total of 428 pig farms where infected, with the majority of farm sizes ranging between 27 and 1750 pigs, including piglets. We have extended the earlier models for the transmission risk as a function of between-farm distance, by adding two factors. These factors describe the effect of farm size on the susceptibility of a ‘receiving’ farm and on the infectivity of a ‘sending’ farm (or ‘source’ farm), respectively. Using the best-fitting model, we show that the size of a farm has a significant influence on both farm-level susceptibility and infectivity for CSF. Although larger farms are both more susceptible to CSF and, when infected, more infectious to other farms than smaller farms, the increase is less than linear. The higher the farm size, the smaller the effect of increments of farm size on the susceptibility and infectivity of a farm. Because of changes in the Dutch pig farming characteristics, a straightforward extrapolation of the observed farm size dependencies from 1997/1998 to present times would not be justified. However, based on our results one may expect that also for the current pig farming characteristics in The Netherlands, farm susceptibility and infectivity depend non-linearly on farm size, with some saturation effect for relatively large farm sizes.
机译:由于经济原因,荷兰的牲畜养殖场规模正在增加,因此一个重要的问题是疾病的引入风险和传播的风险如何随农场规模(即农场中的动物数量)而扩大。在这里,我们使用1997-1998年荷兰经典猪瘟(CSF)病毒的流行数据来解决CSF风险这一问题。该数据集是统计学上最有力的数据集之一,在此流行病中,共有428个猪场受到感染,其中大多数猪场(包括仔猪)在27至1750头猪之间。通过增加两个因素,我们扩展了较早的模型,将传播风险作为农场间距离的函数。这些因素分别描述了农场规模对“接收”农场的敏感性和“发送”农场(或“源”农场)的传染性的影响。使用最适合的模型,我们证明了农场的规模对农场水平的脑脊液易感性和传染性都有重大影响。尽管较大的农场比较小的农场都更容易感染脑脊液,并且在感染时对其他农场也更具传染性,但增长幅度不大。农场规模越大,农场规模的增加对农场的敏感性和传染性的影响就越小。由于荷兰养猪业特征的变化,对从1997/1998年到现在的观察到的猪场大小依赖性的直接推断是不合理的。但是,根据我们的结果,我们可以预期,对于荷兰当前的养猪业特征,农场的敏感性和传染性与农场规模呈非线性关系,相对较大的农场会产生一定的饱和效应。

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