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首页> 外文期刊>PLoS Computational Biology >A spatio-temporal individual-based network framework for West Nile virus in the USA: Spreading pattern of West Nile virus
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A spatio-temporal individual-based network framework for West Nile virus in the USA: Spreading pattern of West Nile virus

机译：美国西尼罗河病毒的时空个体网络框架：西尼罗河病毒的传播模式

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Author summary The underlying pattern of West Nile virus (WNV) geographic spread across the United States is not completely clear, which is a necessary step for continental or state level mitigation strategies to reduce WNV transmission. We report a network model that explains the geographic spread of WNV in the United States. West Nile virus is a mosquito-borne pathogen that infects many avian species with different movement ranges. From our research, we found that migration patterns and routes play an essential role in the WNV spatial distribution. The virus spreads in all directions at short distances because of local birds and short-distance migratory birds. However, the virus also disperses long distances along the avian migratory routes. Our model is designed to be flexible and therefore can be used to explore spreading patterns of other infectious diseases in other geographic locations.
机译：作者摘要西尼罗河病毒（WNV）地理分布在美国的潜在模式尚不完全清楚，这是大陆或州级缓解战略减少WNV传播的必要步骤。我们报告了一个网络模型，该模型解释了WNV在美国的地理分布。西尼罗河病毒是一种由蚊子传播的病原体，可感染许多具有不同运动范围的鸟类。从我们的研究中，我们发现迁移模式和路线在WNV空间分布中起着至关重要的作用。该病毒由于当地鸟类和短距离候鸟而在短距离内向各个方向传播。但是，该病毒也会沿着鸟类的迁徙路线扩散很远的距离。我们的模型设计灵活，因此可用于探索其他地理位置其他传染病的传播方式。

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