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首页> 外文期刊>BMC Medical Informatics and Decision Making >FluDetWeb: an interactive web-based system for the early detection of the onset of influenza epidemics
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FluDetWeb: an interactive web-based system for the early detection of the onset of influenza epidemics

机译：FluDetWeb：一种基于网络的交互式系统，可及早发现流行性感冒

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Background The early identification of influenza outbreaks has became a priority in public health practice. A large variety of statistical algorithms for the automated monitoring of influenza surveillance have been proposed, but most of them require not only a lot of computational effort but also operation of sometimes not-so-friendly software. Results In this paper, we introduce FluDetWeb , an implementation of a prospective influenza surveillance methodology based on a client-server architecture with a thin (web-based) client application design. Users can introduce and edit their own data consisting of a series of weekly influenza incidence rates. The system returns the probability of being in an epidemic phase (via e-mail if desired). When the probability is greater than 0.5, it also returns the probability of an increase in the incidence rate during the following week. The system also provides two complementary graphs. This system has been implemented using statistical free-software (? and WinBUGS), a web server environment for Java code (Tomcat) and a software module created by us (Rdp) responsible for managing internal tasks; the software package MySQL has been used to construct the database management system. The implementation is available on-line from: http://www.geeitema.org/meviepi/fludetweb/ webcite . Conclusion The ease of use of FluDetWeb and its on-line availability can make it a valuable tool for public health practitioners who want to obtain information about the probability that their system is in an epidemic phase. Moreover, the architecture described can also be useful for developers of systems based on computationally intensive methods.
机译：背景信息尽早发现流感暴发已成为公共卫生实践中的优先事项。已经提出了用于自动监测流感监测的多种统计算法，但是其中大多数不仅需要大量的计算工作，而且还需要有时不太友好的软件的操作。结果在本文中，我们介绍FluDetWeb，这是一种基于前瞻性流感监测方法的实现，该方法基于基于瘦服务器（基于Web）的客户端应用程序设计的客户端-服务器体系结构。用户可以介绍和编辑自己的数据，其中包括一系列每周的流感发病率。系统返回处于流行阶段的可能性（如果需要，通过电子邮件）。当概率大于0.5时，它还会返回下一周发生率增加的概率。该系统还提供两个互补图。该系统是使用统计自由软件（？和WinBUGS），用于Java代码的Web服务器环境（Tomcat）以及由我们创建的负责管理内部任务的软件模块（Rdp）来实现的; MySQL软件包已用于构建数据库管理系统。该实现可从以下网址在线获得：http://www.geeitema.org/meviepi/fludetweb/ webcite。结论FluDetWeb的易用性及其在线可用性使它成为想要获取有关其系统处于流行阶段的可能性信息的公共卫生从业人员的宝贵工具。此外，所描述的体系结构对于基于计算密集型方法的系统开发人员也可能有用。

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