Schindler J, Schindler Z, Schindler J
3rd Faculty of Medicine, Charles University, Prague, Czech Republic.
Med Inform (Lond). 1998 Jul-Sep;23(3):179-85. doi: 10.3109/14639239809001396.
The information system on resistance of bacteria to antibiotics (WARN--World Antibiotic Resistance Network) is implemented as a WWW server at Charles University in Prague (http:/(/)www.warn.cas.cz). Its main goal is to give information about problems of antibiotic resistance of bacteria and to process data on isolated strains. The WARN web-site contains six main topics. Four of them form the core of the system: Topics of Interest bring information on selected timely topics in antibiotic resistance--pneumococci, staphylococci, beta-lactamases, glycopeptide--and aminoglycoside resistance. Global Monitor brings references and reports on resistance in the world as well as recommended method of surveillance. The topic Data contains raw data on strains in particular countries and hospitals. Data can be viewed in their original form as a list of records (strains) or processed to provide statistics about the resistance rates in the selected country or hospital respectively. The topic Search allows one to search for one or several terms in the whole document. Counts of accessed pages show, that there is a standing demand for information about the serious problems of antibiotic therapy of infectious diseases.
细菌对抗生素耐药性信息系统（WARN——世界抗生素耐药性网络）在布拉格查理大学作为一个万维网服务器运行（http:/(/)www.warn.cas.cz）。其主要目标是提供有关细菌抗生素耐药性问题的信息，并处理分离菌株的数据。WARN网站包含六个主要主题。其中四个构成了系统的核心：“关注主题”提供有关抗生素耐药性方面选定的热门主题的信息——肺炎球菌、葡萄球菌、β-内酰胺酶、糖肽——以及氨基糖苷类耐药性。“全球监测”提供有关全球耐药性的参考文献和报告以及推荐的监测方法。“数据”主题包含特定国家和医院菌株的原始数据。数据可以以记录（菌株）列表的原始形式查看，也可以分别进行处理以提供所选国家或医院耐药率的统计数据。“搜索”主题允许在整个文档中搜索一个或多个术语。访问页面的计数表明，对于传染病抗生素治疗严重问题的信息一直有需求。
