Balážová Alena, Václavík Tomáš, Baláž Vojtech, Široký Pavel
Department of Ecology and Diseases of Zoo Animals, Game, Fish and Bees, University of Veterinary Sciences Brno, Brno, Czech Republic.
Department of Ecology and Environmental Sciences, Faculty of Science, Palacký University Olomouc, Šlechtitelů 27, 78371, Olomouc, Czech Republic.
Parasit Vectors. 2024 Dec 18;17(1):513. doi: 10.1186/s13071-024-06549-2.
Borrelia miyamotoi and Borrelia burgdorferi sensu lato (s.l.) are important zoonotic agents transmitted by Ixodes ricinus ticks, which are widely distributed across Central Europe. Understanding the spatial distribution of these pathogens' prevalence will help identify areas with increased infection risk and facilitate the implementation of effective preventive measures.
We analysed 12,955 I. ricinus ticks collected from 142 towns in the Czech Republic between 2016 and 2018. The ticks were pooled into 2591 groups of five and tested using duplex quantitative polymerase chain reaction (qPCR) for the presence of B. burgdorferi s.l. and B. miyamotoi. For each location, we estimated the overall prevalence of both agents using the EpiTools Epidemiological Calculator for pooled samples and calculated the minimum infection rate (MIR). To assess the potential risk of infection, we combined data on the abundance of nymphs and females with pathogen prevalence at each sampled site. Using a geographic information system (GIS), we mapped the MIR and infection risk of both Borrelia species across all 142 sampled locations and employed a geostatistical method (ordinary kriging) to predict MIR values and infection risk as continuous surfaces across the entire country.
We detected B. miyamotoi in 110 localities and B. burgdorferi s.l. in all 142 localities. The estimated prevalence of B. miyamotoi and B. burgdorferi s.l. in the collected ticks was 2.1% (95% confidence interval [CI] 1.8-2.3) and 27.1% (95% CI 26.0-28.3), respectively. For B. miyamotoi, we identified previously unknown, geographically distinct hotspots of MIR up to 8.3%, with MIR slightly higher in females (2.3%) than in males (1.9%) and nymphs (1.8%), though the difference was not statistically significant. In contrast, B. burgdorferi s.l. exhibited ubiquitous presence, with consistently high prevalence nationwide, showing similar MIRs in females (16.2%) and males (16.1%), and slightly lower in nymphs (15.6%). The highest infection risk for B. miyamotoi was 12.4 infected vectors per hour in southeastern Moravia, while the highest risk for B. burgdorferi s.l. reached 78.6 infected vectors per hour in the Bohemian-Moravian Highlands.
Borrelia miyamotoi is widespread, forming distinct high-prevalence areas in certain regions. Borrelia burgdorferi s.l. demonstrates consistently high prevalence across most of the country, except for a few localized areas such as southwestern Czechia. Both pathogens exhibit natural nidality, forming regions with elevated prevalence and infection risk. Long-term time-series data are needed to confirm the spatio-temporal stability of these hotspots.
宫本疏螺旋体和狭义伯氏疏螺旋体是由蓖麻硬蜱传播的重要人畜共患病原体,蓖麻硬蜱在中欧广泛分布。了解这些病原体流行率的空间分布将有助于确定感染风险增加的区域,并促进实施有效的预防措施。
我们分析了2016年至2018年间从捷克共和国142个城镇收集的12955只蓖麻硬蜱。将蜱虫分成2591组,每组五只,使用双重定量聚合酶链反应(qPCR)检测是否存在狭义伯氏疏螺旋体和宫本疏螺旋体。对于每个地点,我们使用用于合并样本的EpiTools流行病学计算器估计两种病原体的总体流行率,并计算最低感染率(MIR)。为了评估潜在的感染风险,我们将若虫和雌蜱的丰度数据与每个采样地点的病原体流行率相结合。使用地理信息系统(GIS),我们绘制了所有142个采样地点两种疏螺旋体的MIR和感染风险图,并采用地统计方法(普通克里金法)预测整个国家的MIR值和感染风险,将其作为连续表面。
我们在110个地点检测到宫本疏螺旋体,在所有142个地点检测到狭义伯氏疏螺旋体。在所收集的蜱虫中,宫本疏螺旋体和狭义伯氏疏螺旋体的估计流行率分别为2.1%(95%置信区间[CI]1.8 - 2.3)和27.1%(95%CI 26.0 - 28.3)。对于宫本疏螺旋体,我们确定了以前未知的、地理上不同的MIR热点地区,最高可达8.3%,雌蜱(2.3%)的MIR略高于雄蜱(1.9%)和若虫(1.8%),尽管差异无统计学意义。相比之下,狭义伯氏疏螺旋体普遍存在,在全国范围内流行率始终很高,雌蜱(16.2%)和雄蜱(16.1%)的MIR相似,若虫(15.6%)略低。宫本疏螺旋体的最高感染风险是摩拉维亚东南部每小时12.4只感染的媒介,而狭义伯氏疏螺旋体的最高风险在波希米亚 - 摩拉维亚高地达到每小时78.6只感染的媒介。
宫本疏螺旋体广泛分布,在某些地区形成明显的高流行区。狭义伯氏疏螺旋体在该国大部分地区的流行率始终很高,除了捷克西南部等一些局部地区。两种病原体都表现出自然疫源性,形成流行率和感染风险升高的区域。需要长期的时间序列数据来确认这些热点地区的时空稳定性。