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A ‘what-if’ scenario: Nipah virus attacks pig trade chains in Thailand

机译:一个'什么'情景:Nipah病毒攻击泰国的猪贸易链

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Nipah virus (NiV) is a fatal zoonotic agent that was first identified amongst pig farmers in Malaysia in 1998, in an outbreak that resulted in 105 fatal human cases. That epidemic arose from a chain of infection, initiating from bats to pigs, and which then spilled over from pigs to humans. In Thailand, bat-pig-human communities can be observed across the country, particularly in the central plain. The present study therefore aimed to identify high-risk areas for potential NiV outbreaks and to model how the virus is likely to spread. Multi-criteria decision analysis (MCDA) and weighted linear combination (WLC) were employed to produce the NiV risk map. The map was then overlaid with the nationwide pig movement network to identify the index subdistricts in which NiV may emerge. Subsequently, susceptible-exposed-infectious-removed (SEIR) modeling was used to simulate NiV spread within each subdistrict, and network modeling was used to illustrate how the virus disperses across subdistricts. Based on the MCDA and pig movement data, 14 index subdistricts with a high-risk of NiV emergence were identified. We found in our infectious network modeling that the infected subdistricts clustered in, or close to the central plain, within a range of 171?km from the source subdistricts. However, the virus may travel as far as 528.5?km (R0?=?5). In conclusion, the risk of NiV dissemination through pig movement networks in Thailand is low but not negligible. The risk areas identified in our study can help the veterinary authority to allocate financial and human resources to where preventive strategies, such as pig farm regionalization, are required and to contain outbreaks in a timely fashion once they occur.
机译:NIPAH病毒(NIV)是一种致命的动物园,是在1998年在马来西亚的猪农民中鉴定的致命的动物园,这是导致105例致命人类病例的爆发。这种流行病来自一种感染链,从蝙蝠发起猪,然后从猪溢出到人类。在泰国,可以在全国范围内观察到蝙蝠 - 猪人类社区,特别是在中央平原上。因此,本研究旨在识别潜在的NIV爆发的高风险领域,并模拟病毒如何蔓延。使用多标准决策分析(MCDA)和加权线性组合(WLC)产​​生核育核心风险图。然后将地图覆盖着全国范围的猪移动网络,以识别NIV可能出现的索引子阶段。随后,使用易感暴露的暴露(SEIR)建模用于模拟每个子isricrict内的NIV扩展,并且使用网络建模来说明病毒如何分散在子目录中。基于MCDA和猪运动数据,确定了具有高核活性效率的14个指数副标题。我们发现我们的传染性网络建模中,受感染的子项集群聚集在中央平原或靠近中央平原范围内,范围内的范围为171英里。然而,病毒可能远远超过528.5 km(r0?=?5)。总之,通过泰国猪运动网络的核育核育传播的风险低但不可忽略不计。我们研究中确定的风险领域可以帮助兽医授权将财政和人力资源分配到需要养殖战略,如养猪场区域化,如猪场区域化,并在发生后及时遏制爆发。

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