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Risk-based surveillance for avian influenza control along poultry market chains in South China: the value of social network analysis.

机译:华南地区禽类市场链上基于风险的禽流感控制监测:社会网络分析的价值。

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Over the past two decades, the poultry sector in China went through a phase of tremendous growth as well as rapid intensification and concentration. Highly pathogenic avian influenza virus (HPAIV) subtype H5N1 was first detected in 1996 in Guangdong province, South China and started spreading throughout Asia in early 2004. Since then, control of the disease in China has relied heavily on wide-scale preventive vaccination combined with movement control, quarantine and stamping out. This strategy has been successful in drastically reducing the number of outbreaks during the past 5 years. However, HPAIV H5N1 is still circulating and is regularly isolated in traditional live bird markets (LBMs) where viral infection can persist, which represent a public health hazard for people visiting them. The use of social network analysis in combination with epidemiological surveillance in South China has identified areas where the success of current strategies for HPAI control in the poultry production sector may benefit from better knowledge of poultry trading patterns and the LBM network configuration as well as their capacity for maintaining HPAIV H5N1 infection. We produced a set of LBM network maps and estimated the associated risk of HPAIV H5N1 within LBMs and along poultry market chains, providing new insights into how live poultry trade and infection are intertwined. More specifically, our study provides evidence that several biosecurity factors such as daily cage cleaning, daily cage disinfection or manure processing contribute to a reduction in HPAIV H5N1 presence in LBMs. Of significant importance is that the results of our study also show the association between social network indicators and the presence of HPAIV H5N1 in specific network configurations such as the one represented by the counties of origin of the birds traded in LBMs. This new information could be used to develop more targeted and effective control interventions.Digital Object Identifier http://dx.doi.org/10.1016/j.prevetmed.2011.07.007
机译:在过去的二十年中,中国的家禽业经历了巨大的发展以及迅速的集约化和集中化阶段。高致病性禽流感病毒(HPAIV)H5N1亚型于1996年在中国南方的广东省首次发现,并于2004年初开始在整个亚洲蔓延。此后,在中国控制该疾病主要依靠大规模的预防接种和运动控制,隔离和封锁。在过去的5年中,该策略已成功地大幅度减少了暴发次数。但是,HPAIV H5N1仍在循环中,并在传统的活禽市场(LBM)中定期分离,这些地方可以持续感染病毒,这对来访者构成了公共健康危害。在华南地区,通过社交网络分析与流行病学监测相结合,已经发现了一些领域,在这些领域中,当前在家禽生产部门控制高致病性禽流感的战略的成功可能得益于对家禽贸易模式,LBM网络配置及其能力的了解。用于维持HPAIV H5N1感染。我们制作了一套LBM网络图,并估计了LBM内部以及整个禽类市场链中HPAIV H5N1的相关风险,从而提供了有关活禽贸易和感染如何相互联系的新见解。更具体地说,我们的研究提供了证据,证明一些生物安全因素(如日常笼清洁,日常笼消毒或粪便处理)有助于减少LBM中HPAIV H5N1的存在。极为重要的是,我们的研究结果还显示了社交网络指标与特定网络配置中HPAIV H5N1的存在之间的关联,例如以LBM交易的鸟类的起源县为代表的网络。此新信息可用于开发更有针对性和有效的控制干预措施。数字对象标识符http://dx.doi.org/10.1016/j.prevetmed.2011.07.007

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