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Low- and High-Pathogenic Avian Influenza H5 and H7 Spread Risk Assessment Within and Between Australian Commercial Chicken Farms

机译:在澳大利亚商业养鸡场内和之间的低致病性和高致病性禽流感H5和H7传播风险评估

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摘要

This study quantified and compared the probability of avian influenza (AI) spread within and between Australian commercial chicken farms via specified spread pathways using scenario tree mathematical modeling. Input values for the models were sourced from scientific literature, expert opinion, and a farm survey conducted during 2015 and 2016 on Australian commercial chicken farms located in New South Wales (NSW) and Queensland. Outputs from the models indicate that the probability of no establishment of infection in a shed is the most likely end-point after exposure and infection of low-pathogenic avian influenza (LPAI) in one chicken for all farm types (non-free range meat chicken, free range meat chicken, cage layer, barn layer, and free range layer farms). If LPAI infection is established in a shed, LPAI is more likely to spread to other sheds and beyond the index farm due to a relatively low probability of detection and reporting during LPAI infection compared to high-pathogenic avian influenza (HPAI) infection. Among farm types, the median probability for HPAI spread between sheds and between farms is higher for layer farms (0.0019, 0.0016, and 0.0031 for cage, barn, and free range layer, respectively) than meat chicken farms (0.00025 and 0.00043 for barn and free range meat chicken, respectively) due to a higher probability of mutation in layer birds, which relates to their longer production cycle. The pathway of LPAI spread between sheds with the highest average median probability was spread via equipment (0.015; 5–95%, 0.0058–0.036) and for HPAI spread between farms, the pathway with the highest average median probability was spread via egg trays (3.70 × 10−5; 5–95%, 1.47 × 10−6–0.00034). As the spread model did not explicitly consider volume and frequency of the spread pathways, these results provide a comparison of spread probabilities per pathway. These findings highlight the importance of performing biosecurity practices to limit spread of the AI virus. The models can be updated as new information on the mechanisms of the AI virus and on the volume and frequency of movements shed-to-shed and of movements between commercial chicken farms becomes available.
机译:这项研究使用情景树数学模型,通过指定的传播途径,量化并比较了禽流感在澳大利亚商业养鸡场内和之间传播的可能性。模型的输入值来自科学文献,专家意见以及2015年至2016年期间对位于新南威尔士州(NSW)和昆士兰州的澳大利亚商业养鸡场进行的农场调查。模型的输出表明,对于所有农场类型(非散养肉鸡)而言,一只鸡暴露和感染低病原性禽流感(LPAI)后,棚内没有感染的可能性是最有可能的终点。 ,自由放养的肉鸡,笼子层,谷仓层和自由放养的层农场)。如果在大棚中建立了LPAI感染,由于与高病原性禽流感(HPAI)感染相比,在LPAI感染期间发现和报告的可能性相对较低,因此LPAI更有可能传播到其他大棚并超出索引农场。在各种类型的农场中,蛋鸡农场(棚笼,谷仓和自由放养层分别在棚之间和农场之间)的高致病性禽流感传播的中位数概率较高(笼子,谷仓和自由放养层分别为0.0019、0.0016和0.0031),而肉鸡场(谷仓和鸡场分别为0.00025和0.00043)分别归因于自由放养的肉鸡),这是由于蛋鸡发生突变的可能性更高,这与它们的生产周期更长有关。 LPAI传播途径之间的平均中位数概率最高,通过设备传播(0.015; 5–95%,0.0058–0.036),而HPAI传播途径在养殖场之间,其平均中值概率最高的途径通过蛋盘传播( 3.70×10 −5 ; 5-95%,1.47×10 −6 –0.00034)。由于传播模型未明确考虑传播途径的数量和频率,因此这些结果提供了每个途径传播概率的比较。这些发现凸显了执行生物安全措施以限制AI病毒传播的重要性。可以更新模型,以获取有关AI病毒机制的新信息,以及棚间移动和商业养鸡场之间移动的数量和频率。

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