Suppr超能文献

丹麦野猪中非洲猪瘟传播与持续存在的模拟

Simulation of transmission and persistence of African swine fever in wild boar in Denmark.

作者信息

Halasa Tariq, Boklund Anette, Bøtner Anette, Mortensen Sten, Kjær Lene Jung

机构信息

Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark; National Veterinary Institute, Technical University of Denmark, Lyngby, Denmark.

Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark; National Veterinary Institute, Technical University of Denmark, Lyngby, Denmark.

出版信息

Prev Vet Med. 2019 Jun 1;167:68-79. doi: 10.1016/j.prevetmed.2019.03.028. Epub 2019 Apr 1.

Abstract

African swine fever (ASF) is caused by ASF virus (ASFV) and is currently circulating in the eastern part of Europe posing a serious risk regarding transmission to western European countries. Wild boar is a main driver of the transmission and persistence of ASFV in the endemic infected countries in Europe. Some European countries free from ASF, such as Denmark and the Netherlands, have limited population sizes of wild boar, but have large swine productions. In these countries, the patterns of transmission and persistence of ASFV in the existing wild boar population, in case of introduction of ASFV, are unknown. It is important to get a better understanding of ASFV in these wild boar populations, in order to better manage the existing wild boar population and thereby minimize the risk of virus introduction and transmission to domestic pigs, in case of an ASFV incursion. We created an agent-based spatio-temporal model and simulated the transmission of ASFV within Danish wild boar populations, using actual landscape data. The model was run with 50 and 100 wild boar groups used as initial population sizes, respectively, either distributed across the southern part of the mainland (Jutland) or across both the southern and middle parts of Jutland, where wild boar groups are believed to exist. At first, the model was run without ASFV for 25 years to assess wild boar population dynamics in both regions. Thereafter, ASFV was added to the model 1 year after initiation and run for up to another 4 years. The model predicted that wild boar populations may increase drastically over the next 25 years, if wild boar groups were distributed across both southern and middle Jutland and no mitigation actions were taken, while the population sizes will be restricted, if groups were distributed only across the southern part of Jutland. The density of the population is an important factor affecting the transmission and persistency of the disease. Model results indicated that ASF epidemics in the simulated populations would generally persist for few months. However, due to the high stochasticity of the process, in certain situations the epidemics may last for more than one year, posing a serious risk of ASFV introduction to domestic pigs.

摘要

非洲猪瘟(ASF)由非洲猪瘟病毒(ASFV)引起,目前正在欧洲东部传播,对西欧国家构成严重的传播风险。野猪是ASFV在欧洲地方流行感染国家传播和持续存在的主要驱动因素。一些未受ASF影响的欧洲国家,如丹麦和荷兰,野猪种群规模有限,但养猪业规模较大。在这些国家,如果引入ASFV,其在现有野猪种群中的传播和持续模式尚不清楚。更好地了解这些野猪种群中的ASFV非常重要,以便更好地管理现有的野猪种群,从而在ASFV入侵时将病毒引入和传播到家猪的风险降至最低。我们创建了一个基于主体的时空模型,并使用实际景观数据模拟了ASFV在丹麦野猪种群中的传播。该模型分别以50个和100个野猪群作为初始种群规模运行,这些野猪群要么分布在丹麦大陆南部(日德兰半岛),要么分布在日德兰半岛的南部和中部,据信那里存在野猪群。首先,该模型在没有ASFV的情况下运行25年,以评估两个地区的野猪种群动态。此后,在模型启动1年后添加ASFV,并再运行4年。该模型预测,如果野猪群分布在日德兰半岛的南部和中部且不采取缓解措施,野猪种群在未来25年可能会急剧增加,而如果野猪群仅分布在日德兰半岛的南部,种群规模将受到限制。种群密度是影响疾病传播和持续存在的重要因素。模型结果表明,模拟种群中的ASF疫情通常会持续几个月。然而,由于该过程的高度随机性,在某些情况下,疫情可能会持续一年以上,从而构成ASFV引入家猪的严重风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验