Desmecht Daniel, Gerbier Guillaume, Gortázar Schmidt Christian, Grigaliuniene Vilija, Helyes Georgina, Kantere Maria, Korytarova Daniela, Linden Annick, Miteva Aleksandra, Neghirla Ioana, Olsevskis Edvins, Ostojic Sasa, Petit Tom, Staubach Christoph, Thulke Hans-Hermann, Viltrop Arvo, Richard Wallo, Wozniakowski Grzegorz, Cortiñas José Abrahantes, Broglia Alessandro, Dhollander Sofie, Lima Eliana, Papanikolaou Alexandra, Van der Stede Yves, Ståhl Karl
EFSA J. 2021 May 6;19(5):e06572. doi: 10.2903/j.efsa.2021.6572. eCollection 2021 May.
An update on the African swine fever (ASF) situation in the 10 affected Member States (MS) in the EU and in two neighbouring countries from the 1 September 2019 until the 31 August 2020 is provided. The dynamics of the proportions of PCR- and ELISA-positive samples since the first ASF detection in the country were provided and seasonal patterns were investigated. The impact of the ASF epidemic on the annual numbers of hunted wild boar in each affected MS was investigated. To evaluate differences in the extent of spread of ASF in the wild boar populations, the number of notifications that could be classified as secondary cases to a single source was calculated for each affected MS and compared for the earliest and latest year of the epidemic in the country. To evaluate possible risk factors for the occurrence of ASFV in wild boar or domestic pigs, a literature review was performed. Risk factors for the occurrence of ASF in wild boar in Romanian hunting grounds in 2019 were identified with a generalised linear model. The probability to find at least one PCR-confirmed ASF case in wild boar in a hunting ground in Romania was driven by environmental factors, wild boar abundance and the density of backyard pigs in the hunting ground area, while hunting-related variables were not retained in the final model. Finally, measures implemented in white zones (ASF-free zones that are geographically adjacent to an area where ASF is present in wild boar) to prevent further spread of ASF were analysed with a spatially, explicit stochastic individual-based model. To be effective, the wild boar population in the white zone would need to be drastically reduced before ASF arrives at the zone and it must be wide enough. To achieve the necessary pre-emptive culling targets of wild boar in the white zone, at the start of the establishment, the white zone should be placed sufficiently far from the affected area, considering the speed of the natural spread of the disease. This spread is faster in denser wild boar populations. After a focal ASF introduction, the white zone is always close to the infection hence pre-emptive culling measures in the white zone must be completed in short term, i.e. in a few months.
本文提供了2019年9月1日至2020年8月31日期间欧盟10个受影响成员国以及两个邻国的非洲猪瘟(ASF)疫情最新情况。文中给出了自该国首次检测到ASF以来,PCR和ELISA阳性样本比例的动态变化,并对季节性模式进行了调查。研究了ASF疫情对每个受影响成员国每年野猪狩猎数量的影响。为评估ASF在野猪种群中传播程度的差异,计算了每个受影响成员国可归类为单一源头继发病例的通报数量,并对该国疫情最早和最晚年份的数据进行了比较。为评估野猪或家猪感染非洲猪瘟病毒(ASFV)的可能风险因素,进行了文献综述。利用广义线性模型确定了2019年罗马尼亚狩猎场野猪感染ASF的风险因素。在罗马尼亚一个狩猎场中,野猪至少出现一例PCR确诊ASF病例的概率受环境因素、野猪数量以及狩猎场区域内家猪密度的影响,而与狩猎相关的变量未保留在最终模型中。最后,利用基于空间显式随机个体的模型分析了在白色区域(与野猪感染ASF区域地理相邻的无ASF区域)实施的防止ASF进一步传播的措施。要使措施有效,在ASF到达该区域之前,白色区域的野猪数量需要大幅减少,并且该区域必须足够宽。为实现白色区域野猪必要的预防性扑杀目标,在设立初期,应考虑疾病自然传播速度,将白色区域设置在离受影响区域足够远的地方。在野猪种群密度较大的情况下,疾病传播速度更快。在局部引入ASF后,白色区域总是靠近感染源,因此白色区域的预防性扑杀措施必须在短期内完成,即在几个月内完成。