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Quantifying the roles of host movement and vector dispersal in the transmission of vector-borne diseases of livestock

机译:量化宿主运动和媒介传播在牲畜媒介传播疾病传播中的作用

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摘要

The role of host movement in the spread of vector-borne diseases of livestock has been little studied. Here we develop a mathematical framework that allows us to disentangle and quantify the roles of vector dispersal and livestock movement in transmission between farms. We apply this framework to outbreaks of bluetongue virus (BTV) and Schmallenberg virus (SBV) in Great Britain, both of which are spread by Culicoides biting midges and have recently emerged in northern Europe. For BTV we estimate parameters by fitting the model to outbreak data using approximate Bayesian computation, while for SBV we use previously derived estimates. We find that around 90% of transmission of BTV between farms is a result of vector dispersal, while for SBV this proportion is 98%. This difference is a consequence of higher vector competence and shorter duration of viraemia for SBV compared with BTV. For both viruses we estimate that the mean number of secondary infections per infected farm is greater than one for vector dispersal, but below one for livestock movements. Although livestock movements account for a small proportion of transmission and cannot sustain an outbreak on their own, they play an important role in establishing new foci of infection. However, the impact of restricting livestock movements on the spread of both viruses depends critically on assumptions made about the distances over which vector dispersal occurs. If vector dispersal occurs primarily at a local scale (99% of transmission occurs <25 km), movement restrictions are predicted to be effective at reducing spread, but if dispersal occurs frequently over longer distances (99% of transmission occurs <50 km) they are not.
机译:宿主运动在牲畜媒介传播疾病传播中的作用还很少研究。在这里,我们建立了一个数学框架,可以使我们解开并量化向量散布和牲畜运动在农场之间传播中的作用。我们将此框架应用于在英国爆发的蓝舌病病毒(BTV)和Schmallenberg病毒(SBV),这两种病毒均由库利科尼德斯(Culicoides)咬mid子传播,最近在北欧出现。对于BTV,我们使用近似贝叶斯计算通过使模型适合爆发数据来估计参数,而对于SBV,我们使用先前导出的估计值。我们发现,农场之间BTV传输的大约90%是媒介传播的结果,而对于SBV,这一比例是98%。与BTV相比,这种差异是SBV具有较高的载体能力和较短的病毒血症持续时间的结果。对于这两种病毒,我们估计每个感染农场的平均二次感染传播媒介数量均大于一,而牲畜移动则低于一。尽管牲畜运动只占传播的一小部分,不能靠自身爆发,但它们在确定新的感染源方面起着重要作用。但是,限制牲畜活动对两种病毒的传播的影响主要取决于对传播媒介的距离的假设。如果矢量散布主要发生在局部范围内(99%的传播发生在<25 km以下),则移动限制被认为可以有效地减小传播,但是如果散布在较长距离上频繁发生(99%的传播发生在<50 km以下),则它们会传播不是。

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