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白俄罗斯(2012-2019 年)从蜱媒介中分离的菌株的流行情况和遗传特征。

The Prevalence and Genetic Characterization of Strains of Isolated from Tick Vectors in Belarus (2012-2019).

机构信息

Laboratory Biosafety with Pathogens Collection, Republican Research and Practical Center for Epidemiology and Microbiology, Minsk, Belarus.

Molecular Microbiology Unit, Department of Molecular Biology and Genetics, Muğla Sıtkı Kocman University Faculty of Science, Muğla, Turkey.

出版信息

Vector Borne Zoonotic Dis. 2021 Aug;21(8):566-572. doi: 10.1089/vbz.2021.0006. Epub 2021 Jun 2.

DOI:10.1089/vbz.2021.0006
PMID:34077696
Abstract

sensu lato (s.l.) is the most common pathogen of medical significance transmitted by ticks of the family Ixodidae in Belarus. Human infection with causes Lyme borreliosis, most commonly referred to as Lyme disease. Currently, 20 species of Lyme disease-associated and more than 20 relapsing fever-associated species have been identified. These etiologic agents belong to the genus in the family Spirochaetaceae. Genetically characterized isolates with specific sequences have proven that these pathogens are endemically transmitted in many European and Asian countries. In addition, joinpoint regression analysis is often applied to characterize infection trends over time and to identify the time point(s) at which the trend significantly changes. In this epidemiological investigation, joinpoint analysis was applied to investigate the temporal trend of s.l. infections in 4070 ticks collected between April and October 2012-2019. Detection of species in ticks is an important tool to determine temporal and geographic distribution and abundance, and to predict the risk of Lyme disease to people in different regions. Our data provide a basis for further studies to determine the distribution and abundance of s.l. species in Belarus.

摘要

从广义上讲,s.l. 是白俄罗斯蜱传科 tick 中最常见的具有医学意义的病原体。人类感染 s.l. 会导致莱姆病,通常称为莱姆病。目前,已确定与莱姆病相关的 20 种 和与复发性发热相关的 20 多种 。这些病原体属于螺旋体科的疏螺旋体属。具有特定序列的基因特征分离株已证明,这些病原体在许多欧洲和亚洲国家都有地方性传播。此外,常应用连接点回归分析来描述随时间变化的感染趋势,并确定趋势显著变化的时间点。在这项流行病学调查中,应用连接点分析来研究 2012 年至 2019 年 4 月至 10 月期间采集的 4070 只蜱中 s.l. 感染的时间趋势。检测蜱中的 物种是确定时间和地理分布及丰度的重要工具,并可预测不同地区人群患莱姆病的风险。我们的数据为进一步研究确定白俄罗斯 s.l. 物种的分布和丰度提供了基础。

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