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A deterministic mathematical model of Mycobacterium avium subsp. paratuberculosis transmission on commercial US dairy farms

机译:分枝杆菌分枝杆菌的确定性数学模型。商业美国奶养农场的Paratuberculosis传输

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Prevalence of Johne's disease on U.S. dairy farms is estimated at one-fifth of all herds, and larger herds are found to be infected more often. Despite a low prevalence of high-shedding animals, elimination of MAP from herds has proven exceptionally challenging, with few published reports of successful eradication from infected farms. Mathematical modeling may help us understand this apparent contradiction. A deterministic mathematical model of MAP transmission on commercial US dairies was developed. It builds upon and modifies the assumptions in previous work to best reflect the pathobiology of the disease. Of the animals which test positive for MAP, high levels of bacterial shedding are noted in only a small proportion. Transmission was modeled using ordinary differential equations. Calculation of transmission parameters in these models is necessarily non-linear. Previous models of infection utilized linear dynamics only and therefore lack sensitivity to changes in susceptible population size. Animal turnover rates were obtained from the literature and transition from disease states were calculated from retrospective fecal culture data from herds in New York and Pennsylvania. The model shows that aggressive test-and-cull strategies do not result in successful elimination of MAP in a short timeframe. Transmission is relatively insensitive to the presence of high shedding animals. According to the model, multiple levels of contagiousness among infected adult animals and MAP shedding by infected calves explained the maintenance of low prevalence infections in herds. Although previous experimental studies support the potential of infectious transmission among young calves, further research with natural infections is needed to verify the existence of a pool of infectious young animals. If this group of animals is diagnostically identifiable, elimination strategies may need to address this route of transmission.
机译:约翰对美国乳业疾病的患病率估计在所有畜群中的五分之一,发现较大的牛群更频繁地感染。尽管高脱落动物的流行率低,但从畜群中的地图证明了异常挑战,少数出版了来自受感染的农场的成功删除的报道。数学建模可以帮助我们理解这一明显的矛盾。开发了一种确定商业美国乳房地图传输的确定性数学模型。它建立在以前的工作中的假设,以最佳地反映疾病的病理生物学。对地图测试阳性的动物,只有小比例注意到高水平的细菌脱落。使用普通微分方程建模传输。这些模型中的传输参数的计算必须是非线性的。以前的感染模型仅利用了线性动力学,因此缺乏对易感人群大小的变化的敏感性。动物周转率是从文献中获得的,从纽约牧群和宾夕法尼亚州的回顾性粪便培养数据计算出从疾病状态的转型。该模型表明,激进的测试和剔除策略不会导致在短时间内成功消除地图。传输对高脱落动物的存在相对不敏感。根据该模型,受感染的成年动物的多种程度的传染病和受感染的犊牛的地图脱落解释了畜群中低流行感染的维持。虽然以前的实验研究支持年轻犊牛的传染病的潜力,但需要进一步研究自然感染,以验证一种传染性幼小动物的存在。如果这组动物是诊断上可识别的,则消除策略可能需要解决这一传输路线。

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