Petakh Pavlo, Huber Wolfgang, Kamyshnyi Oleksandr
Department of Biochemistry and Pharmacology, Uzhhorod National University, Uzhhorod, Ukraine.
European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
One Health. 2024 Nov 26;19:100944. doi: 10.1016/j.onehlt.2024.100944. eCollection 2024 Dec.
Leptospirosis, a widespread zoonotic disease caused by spp., affects approximately 1 million people annually and causes about 58,000 deaths worldwide. This study examines the epidemiology of leptospirosis in Ukraine from 2018 to 2023, focusing on the impact of weather and geographical factors on disease transmission. Data from the Ukrainian Centre for Disease Prevention and Control, the Ukrainian Hydrometeorological Center, and the State Agency of Water Resources of Ukraine were analyzed. The country was divided into five regions: North, East, Center, South, and West. For the visualization, but not the quantitative analyses, the notification rate (NR) of leptospirosis was classified into three categories: low, moderate, and high. The highest NR were in Zakarpattia, Ivano-Frankivsk, Khmelnytskyi, Mykolaiv, and Kherson regions, with Zakarpattia having the highest rate. We analyzed whether various weather parameters-such as average annual temperature, precipitation, days with precipitation ≥1 mm, and relative humidity-were associated with the notification rate (NR) of leptospirosis, but no significant correlations were detected. However, a significant positive correlation was observed between higher density of the river network and NR (Kendall's rank correlation, = 0.65, = 0.0005), indicating that geographical factors may play an important role in transmission. Additionally, we found a significant correlation between monthly air raid alarm frequency and the NR of leptospirosis cases in 2023. Case reports of individuals contracting leptospirosis in bomb shelters further support the hypothesis that air raid evacuations impact leptospirosis epidemiology. Further investigation is needed to fully understand this relationship and its implications.
钩端螺旋体病是一种由钩端螺旋体属细菌引起的广泛传播的人畜共患病,每年影响约100万人,在全球造成约58000人死亡。本研究调查了2018年至2023年乌克兰钩端螺旋体病的流行病学情况,重点关注天气和地理因素对疾病传播的影响。分析了来自乌克兰疾病预防控制中心、乌克兰水文气象中心和乌克兰国家水资源局的数据。该国分为五个地区:北部、东部、中部、南部和西部。为了进行可视化(而非定量分析),钩端螺旋体病的报告率(NR)被分为三类:低、中、高。报告率最高的是外喀尔巴阡州、伊万诺-弗兰科夫斯克州、赫梅利尼茨基州、尼古拉耶夫州和赫尔松州,外喀尔巴阡州的报告率最高。我们分析了各种天气参数,如年平均温度、降水量、降水量≥1毫米的天数和相对湿度,是否与钩端螺旋体病的报告率(NR)相关,但未发现显著相关性。然而,观察到河网密度较高与报告率之间存在显著正相关(肯德尔等级相关性,τ = 0.65,P = 0.0005),这表明地理因素可能在疾病传播中起重要作用。此外,我们发现2023年月空袭警报频率与钩端螺旋体病病例的报告率之间存在显著相关性。在防空洞中感染钩端螺旋体病的个人病例报告进一步支持了空袭疏散影响钩端螺旋体病流行病学这一假设。需要进一步调查以充分了解这种关系及其影响。