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Standardized Methodology for Target Surveillance against African Swine Fever

机译:针对非洲猪瘟的目标监测的标准化方法

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摘要

African swine fever (ASF) remains the most serious pig infectious disease, and its persistence in domestic pigs and wild boar (WB) is a threat for the global industry. The surveillance of WB plays a central role in controlling the disease and rapidly detecting new cases. As we are close to eradicating ASF, the need to find any possible pockets of infection is even more important. In this context, passive surveillance is the method of choice for effective surveillance in WB. Considering the time and economic resources related to passive surveillance, to prioritize these activities, we developed a standardized methodology able to identify areas where WB surveillance should be focused on. Using GIS-technology, we divided a specific Sardinian infected area into 1 km2 grids (a total of 3953 grids). Variables related to WB density, ASF cases during the last three years, sex and age of animals, and the type of land were associated with each grid. Epidemiological models were used to identify the areas with both a lack of information and an high risk of hidden ASFV persistence. The results led to the creation of a graphic tool providing specific indications about areas where surveillance should be a priority.
机译:非洲猪瘟(ASF)仍然是最严重的猪传染病,其在国内猪和野猪(WB)的持续存在是对全球产业的威胁。 WB的监测在控制疾病和快速检测新病例方面发挥着核心作用。随着我们接近根除ASF,需要找到任何可能的感染口袋更为重要。在这种情况下,被动监测是WB中有效监视的选择方法。考虑到与被动监测有关的时间和经济资源,优先考虑这些活动,我们开发了一种能够识别应侧重于WB监视的地区的标准化方法。使用GIS技术,我们将特定的撒丁岛感染区域分成1 km2网格(共3953个网格)。与WB密度有关的变量,在过去三年中,动物的性和年龄和土地类型与每个网格相关。流行病学模型用于识别缺乏信息和隐藏ASFV持久性的高风险的区域。结果导致创建一个图形工具,为监测应该是优先级的区域提供特定的指示。

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