Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia.
FGBI Federal Center for Animal Health (FGBI ARRIAH), Vladimir, Russia.
PLoS Negl Trop Dis. 2022 Jan 31;16(1):e0010145. doi: 10.1371/journal.pntd.0010145. eCollection 2022 Jan.
Southern Russia remains affected by West Nile virus (WNV). In the current study, we identified the spatial determinants of WNV distribution in an area with endemic virus transmission, with special reference to the urban settings, by mapping probable points of human infection acquisition and points of virus detection in mosquitoes, ticks, birds, and mammals during 1999-2016. The suitability of thermal conditions for extrinsic virus replication was assessed based on the approach of degree-day summation and their changes were estimated by linear trend analysis. A generalized linear model was used to analyze the year-to-year variation of human cases versus thermal conditions. Environmental suitability was determined by ecological niche modelling using MaxEnt software. Human population density was used as an offset to correct for possible bias. Spatial analysis of virus detection in the environment showed significant contributions from surface temperature, altitude, and distance from water bodies. When indicators of location and mobility of the human population were included, the relative impact of factors changed, with roads becoming most important. When the points of probable human case infection were added, the percentage of leading factors changed only slightly. The urban environment significantly increased the epidemic potential of the territory and created quite favorable conditions for virus circulation. The private building sector with low-storey houses and garden plots located in the suburbs provided a connection between urban and rural transmission cycles.
俄罗斯南部仍然受到西尼罗河病毒(WNV)的影响。在当前的研究中,我们通过绘制 1999 年至 2016 年期间蚊子、蜱虫、鸟类和哺乳动物中可能的人类感染和病毒检测点,确定了在具有地方性病毒传播的地区 WNV 分布的空间决定因素,特别提到了城市环境。根据度日总和法评估了热条件对外源性病毒复制的适宜性,并通过线性趋势分析估计了其变化。广义线性模型用于分析人类病例与热条件的年际变化。使用 MaxEnt 软件通过生态位模型确定环境适宜性。人类人口密度被用作校正可能存在偏差的偏移量。环境中病毒检测的空间分析显示,地表温度、海拔和与水体的距离有显著贡献。当包括人口位置和流动的指标时,因素的相对影响发生了变化,道路变得最为重要。当添加可能的人类病例感染点时,主导因素的百分比变化很小。城市环境显著增加了该地区的流行潜力,并为病毒传播创造了非常有利的条件。带有花园的低层住宅构成的私人建筑区将城市和农村传播周期连接起来。