• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>8th World Multi-Conference on Systemics, Cybernetics and Informatics(SCI 2004) vol.7: Applications of Informatics and Cybernetics in Science and Engineering >Infectious Disease Database (IDDB): An Aid For Understanding and Detecting Infectious Disease
【24h】

Infectious Disease Database (IDDB): An Aid For Understanding and Detecting Infectious Disease

机译：传染病数据库（IDDB）：帮助理解和检测传染病

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Infectious diseases pose a major threat to global public health and international security. Existing epidemiological surveillance systems designed to track infectious disease fail to integrate the rapidly growing pool of molecular biological data to the greatest advantage. Knowing this, we set about identifying and naming the types of data that are worth remembering in a molecular biology-based infectious disease surveillance system, focusing on the host, pathogen and disease and expanding outward to encompass numerous facets of infectious disease ecology. The use of a general purpose database management system, DBMS, is a natural choice for dealing with the volume of data, its changing nature, the need for effective backup and recovery, integrity, security plus other mundane but essential data management tasks, and the need to quickly use the data in new ways for detection of outbreak or bioterrorist threats. We present a data model for a database incorporating important classical concepts modeled down to a genetic level that enables integration of molecular biological data. Applications of the model, as well as decisions regarding the design, specific vocabulary and future additions are discussed. Taken together, we believe that integrating molecular biological data with infectious disease surveillance in such a database will accomplish two main goals: improve the effectiveness of surveillance and improve our understanding of the pathogenesis and transmission of infectious disease.
机译：传染病对全球公共卫生和国际安全构成重大威胁。现有的旨在追踪传染病的流行病学监测系统未能将迅速增长的分子生物学数据库整合到最大的优势。知道了这一点，我们着手确定和命名在基于分子生物学的传染病监测系统中值得记住的数据类型，重点关注宿主，病原体和疾病，并向外扩展以涵盖传染病生态学的许多方面。使用通用数据库管理系统DBMS是处理数据量，其不断变化的性质，对有效备份和恢复的需求，完整性，安全性以及其他平凡但必不可少的数据管理任务的自然选择。需要以新的方式快速使用数据以检测爆发或生物恐怖威胁。我们提出了一个数据库的数据模型，该数据库包含了重要的经典概念，这些概念被建模到能够集成分子生物学数据的遗传水平。讨论了模型的应用以及有关设计，特定词汇和将来添加内容的决策。两者合计，我们认为将分子生物学数据与传染病监测整合到这样的数据库中将实现两个主要目标：提高监测的有效性，并加深我们对传染病发病机理和传播的理解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号