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流感监测网:10个国家的公民共同协作监测欧洲的流感疫情。

Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe.

作者信息

Koppeschaar Carl E, Colizza Vittoria, Guerrisi Caroline, Turbelin Clément, Duggan Jim, Edmunds W John, Kjelsø Charlotte, Mexia Ricardo, Moreno Yamir, Meloni Sandro, Paolotti Daniela, Perrotta Daniela, van Straten Edward, Franco Ana O

机构信息

De Grote Griepmeting, Science in Action BV, Amsterdam, Netherlands.

UPMC Univ Paris 06, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Sorbonne Universités, Paris, France.

出版信息

JMIR Public Health Surveill. 2017 Sep 19;3(3):e66. doi: 10.2196/publichealth.7429.

Abstract

BACKGROUND

The wide availability of the Internet and the growth of digital communication technologies have become an important tool for epidemiological studies and health surveillance. Influenzanet is a participatory surveillance system monitoring the incidence of influenza-like illness (ILI) in Europe since 2003. It is based on data provided by volunteers who self-report their symptoms via the Internet throughout the influenza season and currently involves 10 countries.

OBJECTIVE

In this paper, we describe the Influenzanet system and provide an overview of results from several analyses that have been performed with the collected data, which include participant representativeness analyses, data validation (comparing ILI incidence rates between Influenzanet and sentinel medical practice networks), identification of ILI risk factors, and influenza vaccine effectiveness (VE) studies previously published. Additionally, we present new VE analyses for the Netherlands, stratified by age and chronic illness and offer suggestions for further work and considerations on the continuity and sustainability of the participatory system.

METHODS

Influenzanet comprises country-specific websites where residents can register to become volunteers to support influenza surveillance and have access to influenza-related information. Participants are recruited through different communication channels. Following registration, volunteers submit an intake questionnaire with their postal code and sociodemographic and medical characteristics, after which they are invited to report their symptoms via a weekly electronic newsletter reminder. Several thousands of participants have been engaged yearly in Influenzanet, with over 36,000 volunteers in the 2015-16 season alone.

RESULTS

In summary, for some traits and in some countries (eg, influenza vaccination rates in the Netherlands), Influenzanet participants were representative of the general population. However, for other traits, they were not (eg, participants underrepresent the youngest and oldest age groups in 7 countries). The incidence of ILI in Influenzanet was found to be closely correlated although quantitatively higher than that obtained by the sentinel medical practice networks. Various risk factors for acquiring an ILI infection were identified. The VE studies performed with Influenzanet data suggest that this surveillance system could develop into a complementary tool to measure the effectiveness of the influenza vaccine, eventually in real time.

CONCLUSIONS

Results from these analyses illustrate that Influenzanet has developed into a fast and flexible monitoring system that can complement the traditional influenza surveillance performed by sentinel medical practices. The uniformity of Influenzanet allows for direct comparison of ILI rates between countries. It also has the important advantage of yielding individual data, which can be used to identify risk factors. The way in which the Influenzanet system is constructed allows the collection of data that could be extended beyond those of ILI cases to monitor pandemic influenza and other common or emerging diseases.

摘要

背景

互联网的广泛普及和数字通信技术的发展已成为流行病学研究和健康监测的重要工具。自2003年以来,流感监测网(Influenzanet)是一个参与性监测系统,用于监测欧洲流感样疾病(ILI)的发病率。它基于志愿者提供的数据,这些志愿者在整个流感季节通过互联网自我报告症状,目前涉及10个国家。

目的

在本文中,我们描述了流感监测网系统,并概述了对收集到的数据进行的多项分析结果,这些分析包括参与者代表性分析、数据验证(比较流感监测网和定点医疗实践网络之间的ILI发病率)、ILI危险因素的识别以及先前发表的流感疫苗效力(VE)研究。此外,我们展示了荷兰按年龄和慢性病分层的新的VE分析,并就参与性系统的持续和可持续性提出了进一步工作和思考的建议。

方法

流感监测网由各国特定的网站组成,居民可以在这些网站注册成为支持流感监测的志愿者,并获取与流感相关的信息。通过不同的沟通渠道招募参与者。注册后,志愿者提交一份包含邮政编码以及社会人口统计学和医学特征的录入问卷,之后他们会收到每周电子通讯提醒,被邀请报告自己的症状。每年有数千名参与者参与流感监测网,仅2015 - 16赛季就有超过36000名志愿者。

结果

总之,对于某些特征以及在某些国家(例如荷兰的流感疫苗接种率),流感监测网的参与者代表了一般人群。然而,对于其他特征,他们并不具有代表性(例如,在7个国家中,参与者未能充分代表最年轻和最年长的年龄组)。尽管流感监测网中ILI的发病率在数量上高于定点医疗实践网络所获得的发病率,但两者被发现密切相关。识别出了感染ILI的各种危险因素。利用流感监测网数据进行的VE研究表明,这个监测系统最终可能会发展成为一种实时测量流感疫苗效力的补充工具。

结论

这些分析结果表明,流感监测网已发展成为一个快速且灵活的监测系统,可以补充定点医疗实践所进行的传统流感监测。流感监测网的一致性使得各国之间的ILI发病率能够直接比较。它还有产生个体数据的重要优势,这些数据可用于识别危险因素。流感监测网系统的构建方式使得所收集的数据可以扩展到ILI病例之外,以监测大流行性流感和其他常见或新出现的疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e440/5627046/7e94959b794d/publichealth_v3i3e66_fig1.jpg

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