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Evaluation of the cost-effectiveness of bovine brucellosis surveillance in a disease-free country using stochastic scenario tree modelling

机译:使用随机情景树模型评估无病国家的牛布鲁氏菌病监测的成本效益

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摘要

Surveillance systems of exotic infectious diseases aim to ensure transparency about the country-specific animal disease situation (i.e. demonstrate disease freedom) and to identify any introductions. In a context of decreasing resources, evaluation of surveillance efficiency is essential to help stakeholders make relevant decisions about prioritization of measures and funding allocation. This study evaluated the efficiency (sensitivity related to cost) of the French bovine brucellosis surveillance system using stochastic scenario tree models. Cattle herds were categorized into three risk groups based on the annual number of purchases, given that trading is considered as the main route of brucellosis introduction in cattle herds. The sensitivity in detecting the disease and the costs of the current surveillance system, which includes clinical (abortion) surveillance, programmed serological testing and introduction controls, were compared to those of 19 alternative surveillance scenarios. Surveillance costs included veterinary fees and laboratory analyses. The sensitivity over a year of the current surveillance system was predicted to be 91±7% at a design prevalence of 0.01% for a total cost of 14.9±1.8 million €. Several alternative surveillance scenarios, based on clinical surveillance and random or risk-based serological screening in a sample (20%) of the population, were predicted to be at least as sensitive but for a lower cost. Such changes would reduce whole surveillance costs by 20 to 61% annually, and the costs for farmers only would be decreased from about 12.0 million € presently to 5.3–9.0 million € (i.e. 25–56% decrease). Besides, fostering the evolution of the surveillance system in one of these directions would be in agreement with the European regulations and farmers perceptions on brucellosis risk and surveillance.
机译:外来传染病的监测系统旨在确保有关特定国家动物疾病状况的透明性(即证明疾病的自由性)并确定任何引入。在资源减少的情况下,评估监视效率对于帮助利益相关者就措施的优先级和资金分配做出相关决策至关重要。这项研究使用随机情景树模型评估了法国牛布鲁氏菌病监测系统的效率(与成本相关的敏感性)。考虑到交易被视为牛群布鲁氏菌病引入的主要途径,根据每年的购买数量将牛群分为三个风险组。将检测疾病的敏感性和当前监视系统(包括临床(人工流产)监视,程序化血清学检测和引入控制)的成本与19种替代监视方案的敏感性进行了比较。监视费用包括兽医费和实验室分析。当前监视系统一年的灵敏度预计为91±7%,设计患病率为0.01%,总成本为14.9±180万欧元。根据临床监测以及对样本(20%)的人群进行随机或基于风险的血清学筛查,预计有几种替代监测方案至少具有同样的敏感性,但成本较低。这样的改变将使整个监视的费用每年减少20%至61%,仅农民的费用将从目前的约1,200万欧元减少到5.3-9.0百万欧元(即减少25-56%)。此外,在这些方向之一上促进监视系统的发展将与欧洲法规以及农民对布鲁氏菌病风险和监视的认识相一致。

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  • 期刊名称 other
  • 作者单位
  • 年(卷),期 -1(12),8
  • 年度 -1
  • 页码 e0183037
  • 总页数 21
  • 原文格式 PDF
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