Johnstone-Robertson Simon P, Fleming Peter J S, Ward Michael P, Davis Stephen A
RMIT School of Science, Mathematical and Geospatial Sciences, RMIT University, Melbourne, Victoria, Australia.
School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
PLoS Negl Trop Dis. 2017 Jan 23;11(1):e0005312. doi: 10.1371/journal.pntd.0005312. eCollection 2017 Jan.
Modelling disease dynamics is most useful when data are limited. We present a spatial transmission model for the spread of canine rabies in the currently rabies-free wild dog population of Australia. The introduction of a sub-clinically infected dog from Indonesia is a distinct possibility, as is the spillover infection of wild dogs. Ranges for parameters were estimated from the literature and expert opinion, or set to span an order of magnitude. Rabies was judged to have spread spatially if a new infectious case appeared 120 km from the index case. We found 21% of initial value settings resulted in canine rabies spreading 120km, and on doing so at a median speed of 67 km/year. Parameters governing dog movements and behaviour, around which there is a paucity of knowledge, explained most of the variance in model outcomes. Dog density, especially when interactions with other parameters were included, explained some of the variance in whether rabies spread 120km, but dog demography (mean lifespan and mean replacement period) had minimal impact. These results provide a clear research direction if Australia is to improve its preparedness for rabies.
在数据有限的情况下,对疾病动态进行建模最为有用。我们提出了一种空间传播模型,用于模拟澳大利亚目前无狂犬病的野生狗群中犬类狂犬病的传播情况。从印度尼西亚引入一只亚临床感染的狗是一种明显的可能性,野生狗的溢出感染也是如此。参数范围是根据文献和专家意见估计的,或者设定为跨越一个数量级。如果在距离索引病例120公里处出现新的感染病例,则判定狂犬病已在空间上传播。我们发现,21%的初始值设置导致犬类狂犬病传播了120公里,并且传播的中位速度为每年67公里。控制狗的移动和行为的参数,由于对此缺乏了解,解释了模型结果中的大部分差异。狗的密度,特别是当与其他参数相互作用时,解释了狂犬病是否传播120公里的部分差异,但狗的种群统计学特征(平均寿命和平均更替期)影响极小。如果澳大利亚要提高其对狂犬病的防范能力,这些结果提供了一个明确的研究方向。