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首页> 外文期刊>Preventive Veterinary Medicine >Understanding the vulnerability of beef producers in Australia to an FMD outbreak using a Bayesian Network predictive model
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Understanding the vulnerability of beef producers in Australia to an FMD outbreak using a Bayesian Network predictive model

机译:了解澳大利亚牛肉生产者的脆弱性,使用贝叶斯网络预测模型对FMD爆发

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Effective and adaptable biosecurity and surveillance systems are crucial for maintaining and increasing Australia's competitive advantages in international markets, and for the production of high quality, safe animal products. These systems are continuously strengthened by ongoing government and industry investment. However, a better understanding of evolving disease risks and the country's capacity to respond to these risks is needed. This study developed a vulnerability framework based on characteristics and behaviours of livestock producers that impact exposure and response capacity to an emergency animal disease (EAD) outbreak among beef producers in Australia, with a focus on foot and mouth disease (FMD). This framework articulated producer vulnerability typologies to better inform surveillance resource allocation and future research direction. A cross-sectional study of beef producers in Australia was conducted to gather information on producers' demographics, husbandry characteristics, biosecurity and animal health management practices and beliefs, including those specific to FMD risk and response capacity. A Bayesian Network (BN) model was developed from the vulnerability framework, to investigate the complex interrelationships between variables and identify producer typologies. A total of 375 usable responses were obtained from the cross-sectional study. Regarding EAD exposure, producers implemented appropriate biosecurity practices for incoming stock, such as isolation (72.0 %), inspection for disease (88.7 %) and the use of vendor declarations (78.5 %); however, other biosecurity practices were limited, such as restriction of visitor access, visitor biosecurity requirements or feral animal control. In relation to response capacity, a moderate uptake of practices was observed. Whilst daily or weekly visual inspection of animals was reported by most producers (90.1 %), physical inspection was less frequent. Most producers would call a private veterinarian in response to unusual signs of disease in their cattle; however, over 40 % of producers did not cite calling a government veterinarian as a priority action. Most producers believe an FMD outbreak would have extremely serious consequences; however, their level of concern was moderate and their confidence in identifying FMD symptoms was low. The BN analysis identified six vulnerability typologies, with three levels of exposure (high, moderate, low) and two levels of response capacity (high, low), as described by producer demographics and practices. The model identified property size, number of cattle and exposure variables as the most influential to the overall producer vulnerability. Results from this study can inform how to best use current biosecurity and surveillance resources and identify where opportunities exist for improving Australia's preparedness for future EAD incursions.
机译:有效和适应性的生物安全和监测系统对于维持和提高澳大利亚在国际市场的竞争优势以及高质量,安全的动物产品的生产至关重要。通过持续的政府和行业投资,这些系统不断加强。但是,需要更好地了解不断变化的疾病风险和国家对这些风险的回应能力。本研究开发了一种脆弱性框架,基于畜牧业生产者的特点和行为,影响澳大利亚牛肉生产商中的紧急动物疾病(EAD)爆发的暴露和反应能力,重点是脚口病(FMD)。该框架阐述了生产者脆弱性类型,以更好地了解监督资源分配和未来的研究方向。对澳大利亚牛肉生产者进行了横断面研究,以收集有关生产者人口统计数据,畜牧特征,生物安全和动物健康管理实践和信念的信息,包括特定于FMD风险和反应能力的人。贝叶斯网络(BN)模型是从漏洞框架开发的,调查变量与识别生产者类型之间的复杂相互关系。从横截面研究中获得了总共375个可用的反应。关于EAD曝光,生产者实施了用于入境库存的适当生物安全实践,例如分离(72.0%),疾病检验(88.7%)和供应商声明的使用(78.5%);但是,其他生物安全实践是有限的,例如访客访问,访客生物安全要求或野生动物控制的限制。关于响应能力,观察到适度的做法。大多数生产者报告每天或每周视觉检查动物(90.1%),物理检查较少。大多数生产者会呼吁私人兽医反应他们牛中疾病的异常症状;然而,超过40%的生产者没有引用政府兽医作为优先行动。大多数生产者认为FMD爆发会产生极其严重的后果;然而,他们的关注程度适中,他们对识别FMD症状的信心很低。 BN分析确定了六种脆弱性类型,具有三种曝光(高,中等,低)和两级响应能力(高,低),如生产者人口统计数据和实践所述。该模型确定了属性大小,牛数量和曝光变量,因为对整体生产者漏洞最有影响力。本研究的结果可以为如何最佳使用当前的生物安全和监测资源,并确定提高澳大利亚对未来EAD ICOMENIONS的准备的机会。

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