Hendrickx Guy, Gilbert Marius, Staubach Christoph, Elbers Armin, Mintiens Koen, Gerbier Guillaume, Ducheyne Els
Avia-GIS, Risschotlei 33, Zoersel B-2980, Belgium.
Prev Vet Med. 2008 Oct 15;87(1-2):162-81. doi: 10.1016/j.prevetmed.2008.06.009. Epub 2008 Jul 17.
Increased transport and trade as well as climate shifts play an important role in the introduction, establishment and spread of new pathogens. Arguably, the introduction of bluetongue virus (BTV) serotype 8 in Benelux, Germany and France in 2006 is such an example. After its establishment in receptive local vector and host populations the continued spread of such a disease in a suitable environment will mainly depend on movement of infected vectors and animals. In this paper we explore how wind models can contribute to explain the spread of BTV in a temperate eco-climatic setting. Based on previous work in Greece and Bulgaria filtered wind density maps were computed using data from the European Centre for Medium-Range Weather Forecasts (ECMWF). Six hourly forward wind trajectories were computed at pressure levels of 850 hPa for each infected farm as from the recorded onset of symptoms. The trajectories were filtered to remove wind events that do not contribute to possible spread of the vector. The suitable wind events were rastered and aggregated on a weekly basis to obtain weekly wind density maps. Next to this, cumulated wind density maps were also calculated to assess the overall impact of wind dispersal of vectors. A strong positive correlation was established between wind density data and the horizontal asymmetrical spread pattern of the 2006 BTV8 epidemic. It was shown that short (<5 km), medium (5-31 km) and long (>31 km) distance spread had a different impact on disease spread. Computed wind densities were linked to the medium/long-distance spread whilst short range spread was mainly driven by active Culicoides flight. Whilst previous work in the Mediterranean basin showed that wind driven spread of Culicoides over sea occurred over distances of up to 700 km, this phenomenon was not observed over land. Long-distance spread over land followed a hopping pattern, i.e. with intermediary stops and establishment of local virus circulation clusters at distances of 35-85 km. Despite suitable wind densities, no long range spread was recorded over distances of 300-400 km. Factors preventing spread Eastwards to the UK and Northwards to Denmark during the 2006 epidemic are discussed. Towards the east both elevation and terrain roughness, causing air turbulences and drop down of Culicoides, were major factors restricting spread. It is concluded that the proposed approach opens new avenues for understanding the spread of vector-borne viruses in Europe. Future developments should take into consideration both physical and biological factors affecting spread.
运输和贸易的增加以及气候变化在新病原体的传入、定殖和传播中起着重要作用。可以说,2006年蓝舌病病毒8型(BTV-8)在比荷卢经济联盟、德国和法国的传入就是这样一个例子。在其在适宜的当地媒介和宿主种群中定殖后,这种疾病在适宜环境中的持续传播将主要取决于受感染媒介和动物的移动。在本文中,我们探讨了风模型如何有助于解释BTV在温带生态气候环境中的传播。基于此前在希腊和保加利亚开展的工作,利用欧洲中期天气预报中心(ECMWF)的数据计算了滤波后的风密度图。从记录的症状出现之时起,针对每个受感染农场,在850百帕的气压水平上计算每六小时一次的向前风轨迹。对轨迹进行滤波,以去除对媒介可能传播没有贡献的风事件。对适宜的风事件进行栅格化处理,并按周进行汇总,以获得每周的风密度图。除此之外,还计算了累积风密度图,以评估风对媒介传播的总体影响。风密度数据与2006年BTV-8疫情的水平不对称传播模式之间建立了很强的正相关关系。结果表明,短距离(<5公里)、中距离(5-31公里)和长距离(>31公里)传播对疾病传播有不同影响。计算得出的风密度与中/长距离传播有关,而短距离传播主要由活跃的库蠓飞行驱动。虽然此前在地中海盆地开展的工作表明,库蠓随风在海上的传播距离可达700公里,但在陆地上未观察到这种现象。陆地上的长距离传播呈跳跃模式,即在35-85公里的距离处有中间停留点并形成当地病毒循环簇。尽管有适宜的风密度,但在300-400公里的距离上未记录到长距离传播。讨论了在2006年疫情期间阻止向东传播至英国和向北传播至丹麦的因素。在向东的方向上,海拔和地形粗糙度都会导致空气湍流和库蠓降落,这是限制传播的主要因素。得出的结论是,所提出的方法为理解欧洲媒介传播病毒的传播开辟了新途径。未来的发展应考虑到影响传播的物理和生物因素。