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动物钩端螺旋体病的环境风险:以俄罗斯联邦萨哈共和国(雅库特)为例。

Environmental Risk of Leptospirosis in Animals: The Case of The Republic of Sakha (Yakutia), Russian Federation.

作者信息

Zakharova Olga I, Korennoy Fedor I, Toropova Nadezhda N, Burova Olga A, Blokhin Andrey A

机构信息

Federal Research Center for Virology and Microbiology, Nizhny Novgorod Research Veterinary Institute-Branch of Federal Research Center for Virology and Microbiology, 603950 Nizhny Novgorod, Russia.

Federal Center for Animal Health (FGBI ARRIAH), 600901 Vladimir, Russia.

出版信息

Pathogens. 2020 Jun 23;9(6):504. doi: 10.3390/pathogens9060504.

Abstract

Leptospirosis is a zoonotic natural focal disease caused by the pathogenic bacteria Leptospira. Its spread is related to certain ecological factors. The aim of the current research was to assess potential exposure to the infection as a function of environmental determinants in the Republic of Sakha (Yakutia), Russian Federation. We applied environmental niche modeling using leptospirosis cases in livestock and wild animals in 1995-2019 with regard to a set of landscape, climatic, and socioeconomic variables, both for the current climate and for the projected climate for 2041-2060. The MaxEnt model performed well (AUC = 0.930), with the mean temperature of the warmest quarter, mean diurnal range, land cover type, and altitude being the most contributing variables. Consequent zoning based on the proportion of high-risk cells within each administrative unit suggested that five out of the 36 districts of the Republic are at high risk in the current climate conditions, with three more districts expected to demonstrate a high risk by 2060. This study presents the first-ever attempt at leptospirosis ecological modeling in Russia. Its results correspond well to the findings of other authors and underline the importance of considering ecological factors when conducting a leptospirosis risk assessment.

摘要

钩端螺旋体病是由致病性细菌钩端螺旋体引起的一种人畜共患自然疫源性疾病。其传播与某些生态因素有关。当前研究的目的是评估俄罗斯联邦萨哈共和国(雅库特)因环境决定因素而感染钩端螺旋体病的潜在风险。我们应用环境生态位建模方法,利用1995年至2019年期间家畜和野生动物的钩端螺旋体病病例数据,结合一系列景观、气候和社会经济变量,分别针对当前气候以及2041年至2060年的预测气候进行分析。最大熵模型表现良好(AUC = 0.930),其中最暖季度的平均温度、平均日较差、土地覆盖类型和海拔是贡献最大的变量。根据各行政单位内高风险单元格的比例进行分区,结果显示在当前气候条件下,该共和国36个区中有5个区处于高风险,预计到2060年还会有3个区出现高风险。本研究是俄罗斯首次尝试进行钩端螺旋体病生态建模。其结果与其他作者的研究结果高度吻合,强调了在进行钩端螺旋体病风险评估时考虑生态因素的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b3f/7350306/f7189c8f58ee/pathogens-09-00504-g001.jpg

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