College of Medical, Veterinary and Life Sciences, Institute of Biodiversity, Animal Health and Comparative Medicine, Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, UK
MRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
Proc Biol Sci. 2017 Oct 11;284(1864). doi: 10.1098/rspb.2017.0919.
Spatio-temporal patterns of the spread of infectious diseases are commonly driven by environmental and ecological factors. This is particularly true for vector-borne diseases because vector populations can be strongly affected by host distribution as well as by climatic and landscape variables. Here, we aim to identify environmental drivers for bluetongue virus (BTV), the causative agent of a major vector-borne disease of ruminants that has emerged multiple times in Europe in recent decades. In order to determine the importance of climatic, landscape and host-related factors affecting BTV diffusion across Europe, we fitted different phylogeographic models to a dataset of 113 time-stamped and geo-referenced BTV genomes, representing multiple strains and serotypes. Diffusion models using continuous space revealed that terrestrial habitat below 300 m altitude, wind direction and higher livestock densities were associated with faster BTV movement. Results of discrete phylogeographic analysis involving generalized linear models broadly supported these findings, but varied considerably with the level of spatial partitioning. Contrary to common perception, we found no evidence for average temperature having a positive effect on BTV diffusion, though both methodological and biological reasons could be responsible for this result. Our study provides important insights into the drivers of BTV transmission at the landscape scale that could inform predictive models of viral spread and have implications for designing control strategies.
传染病的时空传播模式通常受环境和生态因素驱动。这对于虫媒传染病来说尤其如此,因为病媒种群会受到宿主分布以及气候和景观变量的强烈影响。在这里,我们旨在确定蓝舌病病毒(BTV)的环境驱动因素,BTV 是一种主要的反刍动物虫媒传染病的病原体,近几十年来在欧洲多次出现。为了确定影响 BTV 在欧洲扩散的气候、景观和与宿主相关因素的重要性,我们将不同的系统地理模型拟合到一个包含 113 个时间标记和地理参考的 BTV 基因组数据集上,这些基因组代表了多种菌株和血清型。使用连续空间的扩散模型表明,海拔 300 米以下的陆地栖息地、风向和更高的牲畜密度与 BTV 的快速传播有关。涉及广义线性模型的离散系统地理分析的结果基本支持这些发现,但因空间分区水平的不同而有很大差异。与普遍看法相反,我们没有发现平均温度对 BTV 扩散有正向影响的证据,尽管这一结果可能是由于方法学和生物学原因造成的。我们的研究提供了有关景观尺度上 BTV 传播驱动因素的重要见解,这些见解可以为病毒传播的预测模型提供信息,并对设计控制策略产生影响。