Establishing a European wastewater pathogen monitoring network employing aviation samples: a proof of concept.

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY
Robert Morfino, Bernd Manfred Gawlik, Simona Tavazzi, Angela Tessarolo, Ana Burgos Gutierrez, Nita K Madhav, Jasmine Grimsley, Amy Schierhorn, Andrew Franklin, Marta Vargha, Andrew Engeli, Mitchell Wolfe
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引用次数: 0

Abstract

Pathogens know no borders, and the COVID-19 pandemic highlighted the urgent need for comparable, globally accessible pathogen data. This paper proposes a European wastewater pathogen monitoring network using aircraft and airport samples as a proof of concept for an effective cross-national surveillance system. The study emphasizes the importance of genomic data collection from strategic sites to produce high-value data for disease surveillance and epidemiological analysis. The authors suggest establishing "Super Sites" in key locations, particularly major transportation hubs like airports, to serve as focal points for wastewater-based pathogen surveillance. The European Commission has identified over 20 candidate Super Sites and supports their integration into a Global Wastewater Sentinel System. In October 2023, the European Commission's Joint Research Centre (JRC) and Ginkgo Bioworks conducted an ad hoc exercise, collecting and analyzing wastewater samples from airports and aircraft across Europe. This exercise demonstrated the feasibility of coordinated sampling, centralized processing, and data sharing across different countries. Samples were collected from eight airports over two weeks, employing various methods for different types of wastewater, including samples from terminals and aircraft. Across airports, 96% of wastewater samples tested positive for SARS-CoV-2, with similar viral loads between aircraft and airport sewage, and multiple lineages were identified, including the EG.5 variant, which is consistent with the publicly reported variant data. The results underscore the potential of routine aircraft wastewater monitoring as an early warning system for emerging pathogens. The study also highlights the need for standardized protocols and real-time reporting systems and the importance of addressing ethical considerations in handling passenger data. By creating a network of Super Sites, and integrating cross-national wastewater surveillance data with passenger flight data, the European Union aims to strengthen global public health responses to future pandemics. Establishing this surveillance network is a crucial step towards a pan-European surveillance system for pathogens, providing a non-intrusive complement to existing systems that rely on individual testing. This system will significantly improve early detection capabilities, leading to more rapid and robust responses and ultimately enhancing global health security.

利用航空样本建立欧洲废水病原体监测网络:概念验证。
病原体没有国界,COVID-19大流行凸显了迫切需要可比较的、全球可获取的病原体数据。本文提出了一个使用飞机和机场样本的欧洲废水病原体监测网络,作为一个有效的跨国监测系统的概念证明。该研究强调了从战略地点收集基因组数据对于为疾病监测和流行病学分析提供高价值数据的重要性。作者建议在关键地点建立“超级站点”,特别是像机场这样的主要交通枢纽,作为基于废水的病原体监测的焦点。欧盟委员会已经确定了20多个候选超级站点,并支持将它们整合到全球废水前哨系统中。2023年10月,欧盟委员会联合研究中心(JRC)和银杏生物工程公司(Ginkgo Bioworks)进行了一项特别演习,收集并分析了欧洲各地机场和飞机的废水样本。这项工作证明了在不同国家间协调抽样、集中处理和数据共享的可行性。在两周的时间里,我们从八个机场收集了样本,采用了不同的方法来处理不同类型的废水,包括从航站楼和飞机上收集的样本。在所有机场,96%的废水样本检测出SARS-CoV-2阳性,飞机和机场污水之间的病毒载量相似,并确定了多种谱系,包括EG.5变体,这与公开报告的变体数据一致。这些结果强调了常规飞机废水监测作为新兴病原体预警系统的潜力。该研究还强调了标准化协议和实时报告系统的必要性,以及在处理乘客数据时解决道德问题的重要性。通过建立一个超级站点网络,并将跨国废水监测数据与客运航班数据相结合,欧洲联盟的目标是加强对未来流行病的全球公共卫生反应。建立这一监测网络是朝着建立泛欧洲病原体监测系统迈出的关键一步,为依赖个体检测的现有系统提供非侵入性补充。这一系统将大大提高早期发现能力,导致更迅速和更有力的反应,并最终加强全球卫生安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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