Zakharova Olga I, Korennoy Fedor I, Iashin Ivan V, Toropova Nadezhda N, Gogin Andrey E, Kolbasov Denis V, Surkova Galina V, Malkhazova Svetlana M, Blokhin Andrei A
Federal Research Center for Virology and Microbiology, Nizhny Novgorod Research Veterinary Institute-Branch of Federal Research Center for Virology and Microbiology, Nizhny Novgorod, Russia.
Federal Center for Animal Health (FGBI ARRIAH), Vladimir, Russia.
Front Vet Sci. 2021 Apr 12;8:658675. doi: 10.3389/fvets.2021.658675. eCollection 2021.
Leptospirosis is a re-emerging zoonotic infectious disease caused by pathogenic bacteria of the genus . Regional differences in the disease manifestation and the role of ecological factors, specifically in regions with a subarctic and arctic climate, remain poorly understood. We here explored environmental and socio-economic features associated with leptospirosis cases in livestock animals in the Russian Arctic during 2000-2019. Spatial analysis suggested that the locations of the majority of 808 cases were in "boreal" or "polar" climate regions, with "cropland," "forest," "shrubland," or "settlements" land-cover type, with a predominance of "Polar Moist Cropland on Plain" ecosystem. The cases demonstrated seasonality, with peaks in March, June, and August, corresponding to the livestock pasturing practices. We applied the Forest-based Classification and Regression algorithm to explore the relationships between the cumulative leptospirosis incidence per unit area by municipal districts (G-rate) and a number of socio-economic, landscape, and climatic factors. The model demonstrated satisfactory performance in explaining the observed disease distribution ( = 0.82, < 0.01), with human population density, livestock units density, the proportion of crop area, and budgetary investments into agriculture per unit area being the most influential socio-economic variables. Climatic factors demonstrated a significantly weaker influence, with nearly similar contributions of mean yearly precipitation and air temperature and number of days with above-zero temperatures. Using a projected climate by 2100 according to the RCP8.5 scenario, we predict a climate-related rise of expected disease incidence across most of the study area, with an up to 4.4-fold increase in the G-rate. These results demonstrated the predominant influence of the population and agricultural production factors on the observed increase in leptospirosis cases in livestock animals in the Russian Arctic. These findings may contribute to improvement in the regional system of anti-leptospirosis measures and may be used for further studies of livestock leptospirosis epidemiology at a finer scale.
钩端螺旋体病是一种由钩端螺旋体属致病细菌引起的再度出现的人畜共患传染病。该病临床表现的区域差异以及生态因素的作用,特别是在亚北极和北极气候地区,仍知之甚少。我们在此探讨了2000 - 2019年俄罗斯北极地区家畜钩端螺旋体病病例相关的环境和社会经济特征。空间分析表明,808例病例中的大多数位于“北方”或“极地”气候区,土地覆盖类型为“农田”“森林”“灌木丛”或“定居点”,以“平原极地湿润农田”生态系统为主。病例呈现季节性,在3月、6月和8月出现高峰,这与家畜放牧方式相对应。我们应用基于森林的分类和回归算法,探讨了市政区每单位面积的钩端螺旋体病累积发病率(G率)与一些社会经济、景观和气候因素之间的关系。该模型在解释观察到的疾病分布方面表现出令人满意的性能(R² = 0.82,p < 0.01),其中人口密度、家畜单位密度、作物面积比例以及每单位面积农业预算投资是最具影响力的社会经济变量。气候因素的影响明显较弱,年平均降水量、气温以及气温高于零的天数贡献相近。根据RCP8.5情景预测的2100年气候,我们预计研究区域大部分地区与气候相关的预期疾病发病率将上升,G率最多增加4.4倍。这些结果表明,人口和农业生产因素对俄罗斯北极地区家畜钩端螺旋体病病例增加具有主要影响。这些发现可能有助于改进区域抗钩端螺旋体病措施体系,并可用于更精细尺度的家畜钩端螺旋体病流行病学进一步研究。