Silva Sara, Gouveia-Oliveira Rodrigo, Maretzek António, Carriço João, Gudnason Thorolfur, Kristinsson Karl G, Ekdahl Karl, Brito-Avô António, Tomasz Alexander, Sanches Ilda Santos, de Lencastre Hermínia, Almeida Jonas
Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Av, República (EAN), PO Box 127, 2781-901 Oeiras, Portugal.
BMC Med Inform Decis Mak. 2003 Jul 8;3:9. doi: 10.1186/1472-6947-3-9.
EURIS (European Resistance Intervention Study) was launched as a multinational study in September of 2000 to identify the multitude of complex risk factors that contribute to the high carriage rate of drug resistant Streptococcus pneumoniae strains in children attending Day Care Centers in several European countries. Access to the very large number of data required the development of a web-based infrastructure - EURISWEB - that includes a relational online database, coupled with a query system for data retrieval, and allows integrative storage of demographic, clinical and molecular biology data generated in EURIS.
All components of the system were developed using open source programming tools: data storage management was supported by PostgreSQL, and the hypertext preprocessor to generate the web pages was implemented using PHP. The query system is based on a software agent running in the background specifically developed for EURIS.
The website currently contains data related to 13,500 nasopharyngeal samples and over one million measures taken from 5,250 individual children, as well as over one thousand pre-made and user-made queries aggregated into several reports, approximately. It is presently in use by participating researchers from three countries (Iceland, Portugal and Sweden).
An operational model centered on a PHP engine builds the interface between the user and the database automatically, allowing an easy maintenance of the system. The query system is also sufficiently adaptable to allow the integration of several advanced data analysis procedures far more demanding than simple queries, eventually including artificial intelligence predictive models.
欧洲抗药性干预研究(EURIS)于2000年9月启动,作为一项跨国研究,旨在确定导致欧洲多个国家日托中心儿童中耐多药肺炎链球菌菌株携带率高的众多复杂风险因素。要获取大量数据,需要开发一个基于网络的基础设施——EURISWEB,它包括一个关系型在线数据库以及一个用于数据检索的查询系统,并允许对EURIS中生成的人口统计学、临床和分子生物学数据进行综合存储。
该系统的所有组件均使用开源编程工具开发:数据存储管理由PostgreSQL支持,生成网页的超文本预处理器使用PHP实现。查询系统基于一个在后台运行的软件代理,该代理是专门为EURIS开发的。
该网站目前包含与13500份鼻咽样本相关的数据,以及从5250名儿童个体中采集的超过100万项测量数据,还有大约1000多项预制和用户定制的查询汇总成的几份报告。目前,来自三个国家(冰岛、葡萄牙和瑞典)的参与研究人员正在使用该网站。
以PHP引擎为中心的操作模型自动构建了用户与数据库之间的接口,便于系统维护。查询系统也具有足够的适应性,能够集成比简单查询要求更高的多种高级数据分析程序,最终包括人工智能预测模型。