Marine Research Institute, Klaipeda University, Klaipėda, Lithuania.
Institute of Bioscience, Vilnius University, Vilnius, Lithuania.
Euro Surveill. 2024 Aug;29(32). doi: 10.2807/1560-7917.ES.2024.29.32.2400075.
BackgroundThe genus comprises several bacterial species present in the Baltic Sea region (BSR), which are known to cause human infections.AimTo provide a comprehensive retrospective analysis of -induced infections in the BSR from 1994 to 2021, focusing on the 'big four' species - , non-O1/O139, and - in eight European countries (Denmark, Estonia, Finland, Germany, Latvia, Lithuania, Poland and Sweden) bordering the Baltic Sea.MethodsOur analysis includes data on infections, species distribution in coastal waters and environmental data received from national health agencies or extracted from scientific literature and online databases. A redundancy analysis was performed to determine the potential impact of several independent variables, such as sea surface temperature, salinity, the number of designated coastal beaches and year, on the infection rate.ResultsFor BSR countries conducting surveillance, we observed an exponential increase in total infections (n = 1,553) across the region over time. In Sweden and Germany, total numbers of spp. and infections caused by and positively correlate with increasing sea surface temperature. Salinity emerged as a critical driver of spp. distribution and abundance. Furthermore, our proposed statistical model reveals 12 to 20 unreported cases in Lithuania and Poland, respectively, countries with no surveillance.ConclusionsThere are discrepancies in surveillance and monitoring among countries, emphasising the need for comprehensive monitoring programmes of these pathogens to protect human health, particularly in the context of climate change.
该属包含几种存在于波罗的海地区(BSR)的细菌物种,已知这些细菌会引起人类感染。
对 1994 年至 2021 年期间波罗的海地区由 - 引起的感染进行全面回顾性分析,重点关注“四大”物种——、非 O1/O139、和 - 在波罗的海八个欧洲邻国(丹麦、爱沙尼亚、芬兰、德国、拉脱维亚、立陶宛、波兰和瑞典)的感染情况。
我们的分析包括来自国家卫生机构的数据或从科学文献和在线数据库中提取的沿海海域中感染、物种分布和环境数据。我们进行了冗余分析,以确定几个独立变量(如海面温度、盐度、指定的沿海海滩数量和年份)对感染率的潜在影响。
对于进行监测的 BSR 国家,我们观察到该地区的总 - 感染(n = 1,553)随时间呈指数增长。在瑞典和德国,和 spp.的总数以及由 和 引起的感染与海面温度的升高呈正相关。盐度是 spp.分布和丰度的关键驱动因素。此外,我们提出的统计模型揭示了立陶宛和波兰分别有 12 到 20 例未报告的病例,这两个国家都没有监测。
各国之间的监测和监测存在差异,强调需要对这些病原体进行全面的监测计划,以保护人类健康,特别是在气候变化的背景下。