Boender Gert Jan, van den Hengel Rob, van Roermund Herman J W, Hagenaars Thomas J
Department of Epidemiology, Crisis organization and Diagnostics, Central Veterinary Institute (CVI) of Wageningen, Lelystad, The Netherlands.
PLoS One. 2014 Apr 18;9(4):e95278. doi: 10.1371/journal.pone.0095278. eCollection 2014.
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.
由于经济原因,荷兰畜牧场的规模在不断扩大,一个重要的问题是疾病引入风险和传播风险如何随农场规模(即农场动物数量)而变化。在此,我们利用荷兰1997 - 1998年古典猪瘟(CSF)病毒疫情数据来研究CSF风险的这一问题。该数据集在统计上是最有力的数据集之一,因为在这次疫情中,共有428个养猪场被感染,大多数农场规模在27头至1750头猪之间,包括仔猪。我们通过添加两个因素扩展了早期关于传播风险与农场间距离关系的模型。这两个因素分别描述了农场规模对“接收”农场易感性和“发送”农场(或“源”农场)传染性的影响。使用最佳拟合模型,我们表明农场规模对CSF的农场层面易感性和传染性都有显著影响。虽然大型农场比小型农场更容易感染CSF,并且在感染时对其他农场的传染性更强,但增长并非线性。农场规模越大,农场规模增加对农场易感性和传染性的影响就越小。由于荷兰养猪业特征的变化,将1997/1998年观察到的农场规模依赖性直接外推到当前是不合理的。然而,根据我们的结果,可以预期对于荷兰当前的养猪业特征,农场易感性和传染性也非线性地依赖于农场规模,对于相对较大的农场规模有一定的饱和效应。