Counotte Michel J, Petie Ronald, van Klink Ed G M, de Vos Clazien J
Wageningen Bioveterinary Research, Wageningen University & Research, Lelystad, Netherlands.
Transbound Emerg Dis. 2023 Feb 23;2023:9811141. doi: 10.1155/2023/9811141. eCollection 2023.
Animal diseases can enter countries or regions through the movements of infected wildlife. A generic risk model would allow to quantify the risk of entry via this introduction route for different diseases and wildlife species, despite the vast variety in both, and help policy-makers to make informed decisions. Here, we propose such a generic risk assessment model and illustrate its application by assessing the risk of entry of African swine fever (ASF) through wild boar and highly pathogenic avian influenza (HPAI) through wild birds for the Netherlands between 2014-2021. We used disease outbreak data and abstracted movement patterns to populate a stochastic risk model. We found that the entry risk of HPAI fluctuated between the years, with a peak in 2021. In that year, we estimated the number of infected birds to reach the Dutch border by wild bird migration at 273 (95% uncertainty interval: 254-290). The probability that ASF outbreaks that occurred between 2014 and 2021 reached the Dutch border through wild boar movement was very low throughout the whole period; only the upper confidence bound indicated a small entry risk. On a yearly scale, the predicted entry risk for HPAI correlated well with the number of observed outbreaks. In conclusion, we present a generic and flexible framework to assess the entry risk of disease through wildlife. The model allows rapid and transparent estimation of the entry risk for diverse diseases and wildlife species. The modular structure of the model allows for adding nuance and complexity when required or when more data becomes available.
动物疾病可通过受感染野生动物的移动进入国家或地区。一个通用风险模型能够对不同疾病和野生动物物种通过这一引入途径进入的风险进行量化,尽管两者种类繁多,并有助于政策制定者做出明智决策。在此,我们提出这样一个通用风险评估模型,并通过评估2014年至2021年期间荷兰通过野猪传入非洲猪瘟(ASF)以及通过野生鸟类传入高致病性禽流感(HPAI)的风险来说明其应用。我们使用疾病爆发数据和提取的移动模式来填充一个随机风险模型。我们发现,HPAI的传入风险在各年份之间波动,2021年达到峰值。在那一年,我们估计通过野生鸟类迁徙到达荷兰边境的受感染鸟类数量为273只(95%不确定区间:254 - 290)。2014年至2021年期间发生的ASF疫情通过野猪移动到达荷兰边境的概率在整个期间都非常低;只有置信上限表明存在较小的传入风险。在年度尺度上,HPAI的预测传入风险与观察到的疫情数量相关性良好。总之,我们提出了一个通用且灵活的框架来评估疾病通过野生动物传入的风险。该模型能够快速且透明地估计多种疾病和野生动物物种的传入风险。模型的模块化结构允许在需要时或有更多数据可用时增加细微差别和复杂性。