Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.
Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France.
Euro Surveill. 2024 Oct;29(44). doi: 10.2807/1560-7917.ES.2024.29.44.2400084.
BackgroundWest Nile virus (WNV) has an enzootic cycle between birds and mosquitoes, humans being incidental dead-end hosts. Circulation of WNV is an increasing public health threat in Europe. While detection of WNV is notifiable in humans and animals in the European Union, surveillance based on human case numbers presents some limitations, including reporting delays.AimWe aimed to perform risk mapping of WNV circulation leading to human infections in Europe by integrating two types of surveillance systems: indicator-based and event-based surveillance.MethodsFor indicator-based surveillance, we used data on human case numbers reported to the European Centre for Disease Prevention and Control (ECDC), and for event-based data, we retrieved information from news articles collected through an automated biosurveillance platform. In addition to these data sources, we also used environmental data to train ecological niche models to map the risk of local WNV circulation leading to human infections.ResultsThe ecological niche models based on both types of surveillance data highlighted new areas potentially at risk of WNV infection in humans, particularly in Spain, Italy, France and Greece.ConclusionAlthough event-based surveillance data do not constitute confirmed occurrence records, integrating both indicator-based and event-based surveillance data proved useful. These results underscore the potential for a more proactive and comprehensive strategy in managing the threat of WNV in Europe by combining indicator- and event-based and environmental data for effective surveillance and public health response.
西尼罗河病毒(WNV)在鸟类和蚊子之间存在地方性循环,人类是偶然的终末宿主。WNV 在欧洲的传播对公共卫生构成越来越大的威胁。虽然在欧盟,人类和动物中WNV 的检测是应报告的,但基于人类病例数的监测存在一些局限性,包括报告延迟。
通过整合两种监测系统,即基于指标的监测和基于事件的监测,对导致欧洲人类感染的 WNV 循环进行风险制图。
对于基于指标的监测,我们使用了向欧洲疾病预防控制中心(ECDC)报告的人类病例数数据,对于基于事件的数据,我们从通过自动生物监测平台收集的新闻文章中检索信息。除了这些数据源之外,我们还使用环境数据来训练生态位模型,以绘制导致人类感染的本地 WNV 循环的风险图。
基于这两种监测数据的生态位模型突出了人类新的潜在感染风险地区,特别是在西班牙、意大利、法国和希腊。
尽管基于事件的监测数据并非确诊发生记录,但整合基于指标和基于事件的监测数据证明是有用的。这些结果强调了通过结合基于指标和基于事件的数据以及环境数据进行有效的监测和公共卫生应对,在欧洲管理 WNV 威胁方面采取更积极和全面的策略的潜力。