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A novel epidemiological model to better understand and predict the observed seasonal spread of Pestivirus in Pyrenean chamois populations

机译:一种新型的流行病学模型可以更好地了解和预测在比利牛斯羚羊种群中观察到的瘟病毒的季节性传播

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摘要

Seasonal variations in individual contacts give rise to a complex interplay between host demography and pathogen transmission. This is particularly true for wild populations, which highly depend on their natural habitat. These seasonal cycles induce variations in pathogen transmission. The seasonality of these biological processes should therefore be considered to better represent and predict pathogen spread. In this study, we sought to better understand how the seasonality of both the demography and social contacts of a mountain ungulate population impacts the spread of a pestivirus within, and the dynamics of, this population. We propose a mathematical model to represent this complex biological system. The pestivirus can be transmitted both horizontally through direct contact and vertically in utero. Vertical transmission leads to abortion or to the birth of persistently infected animals with a short life expectancy. Horizontal transmission involves a complex dynamics because of seasonal variations in contact among sexes and age classes. We performed a sensitivity analysis that identified transmission rates and disease-related mortality as key parameters. We then used data from a long-term demographic and epidemiological survey of the studied population to estimate these mostly unknown epidemiological parameters. Our model adequately represents the system dynamics, observations and model predictions showing similar seasonal patterns. We show that the virus has a significant impact on population dynamics, and that persistently infected animals play a major role in the epidemic dynamics. Modeling the seasonal dynamics allowed us to obtain realistic prediction and to identify key parameters of transmission.Electronic supplementary materialThe online version of this article (doi:10.1186/s13567-015-0218-8) contains supplementary material, which is available to authorized users.
机译:个体接触的季节性变化导致宿主人口统计学和病原体传播之间复杂的相互作用。对于高度依赖其自然栖息地的野生种群尤其如此。这些季节周期导致病原体传播变化。因此,应考虑这些生物过程的季节性,以更好地表示和预测病原体的传播。在这项研究中,我们试图更好地了解有蹄类种群的人口统计学和社会接触的季节性如何影响瘟疫病毒在该种群内的传播及其动态。我们提出了一个数学模型来表示这个复杂的生物系统。瘟病毒可以通过直接接触水平传播,也可以在子宫内垂直传播。垂直传播会导致流产或持续寿命较短的持续感染动物的出生。由于性别和年龄段之间接触的季节性变化,水平传播涉及复杂的动力学过程。我们进行了敏感性分析,确定了传播率和与疾病相关的死亡率为关键参数。然后,我们使用对研究人群进行的长期人口统计学和流行病学调查的数据来估计这些最未知的流行病学参数。我们的模型可以充分代表系统动态,观测结果和模型预测,显示相似的季节性模式。我们表明,该病毒对种群动态有重大影响,而持续感染的动物在疫情动态中起主要作用。对季节动态进行建模可以使我们获得现实的预测并确定传输的关键参数。电子补充材料本文的在线版本(doi:10.1186 / s13567-015-0218-8)包含补充材料,授权用户可以使用。

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