School of Biological Sciences, University of Bristol, 24 Tyndall Avenue, Bristol, BS8 1TQ, UK.
Bristol Veterinary School, University of Bristol, Langford House, Bristol, BS40 5DU, UK.
Vet Res. 2021 Apr 12;52(1):54. doi: 10.1186/s13567-021-00924-y.
Psoroptic mange (sheep scab), caused by the parasitic mite, Psoroptes ovis, is an important disease of sheep worldwide. It causes chronic animal welfare issues and economic losses. Eradication of scab has proved impossible in many sheep-rearing areas and recent reports of resistance to macrocyclic lactones, a key class of parasiticide, highlight the importance of improving approaches to scab management. To allow this, the current study aimed to develop a stochastic spatial metapopulation model for sheep scab transmission which can be adapted for use in any geographical region, exhibited here using data for Great Britain. The model uses agricultural survey and sheep movement data to geo-reference farms and capture realistic movement patterns. Reported data on sheep scab outbreaks from 1973 to 1991 were used for model fitting with Sequential Monte Carlo Approximate Bayesian Computation methods. The outbreak incidence predicted by the model was from the same statistical distribution as the reported outbreak data ([Formula: see text] = 115.3, p = 1) and the spatial location of sheep scab outbreaks predicted was positively correlated with the observed outbreak data by county ([Formula: see text] = 0.55, p < 0.001), confirming that the model developed is able to accurately capture the number of farms infected in a year, the seasonality of scab incidence and the spatial patterns seen in the data. This model gives insight into the transmission dynamics of sheep scab and will allow the exploration of more effective control strategies.
绵羊痒螨病(绵羊疥癣)由寄生性螨,即痒螨引起,是一种在世界范围内对绵羊造成严重影响的疾病。它会导致动物福利问题和经济损失。在许多绵羊养殖地区,已经证明根除痒螨是不可能的,而最近关于对大环内酯类驱虫药(一种关键的驱虫药类别)产生抗药性的报道,突显了改进痒螨病管理方法的重要性。为此,本研究旨在开发一种绵羊痒螨病传播的随机空间复合种群模型,该模型可适用于任何地理区域,目前在英国使用数据进行了展示。该模型使用农业调查和绵羊运动数据来对农场进行地理参考,并捕捉到真实的运动模式。使用 1973 年至 1991 年报告的绵羊痒螨病爆发数据,采用序贯蒙特卡罗近似贝叶斯计算方法对模型进行拟合。模型预测的爆发发病率与报告的爆发数据来自相同的统计分布([Formula: see text] = 115.3,p = 1),并且预测的绵羊痒螨病爆发的空间位置与按县划分的观察到的爆发数据呈正相关([Formula: see text] = 0.55,p < 0.001),这证实了所开发的模型能够准确地捕捉到一年内感染的农场数量、痒螨病的季节性和数据中观察到的空间模式。该模型深入了解了绵羊痒螨病的传播动态,并将允许探索更有效的控制策略。