赵嘉, 苏雪梅, 马睿. 基于云计算的传染病症候群与病原学监测数据分析平台设计与实现[J]. 疾病监测, 2021, 36(11): 1190-1195. DOI: 10.3784/jbjc.202103010096
引用本文: 赵嘉, 苏雪梅, 马睿. 基于云计算的传染病症候群与病原学监测数据分析平台设计与实现[J]. 疾病监测, 2021, 36(11): 1190-1195. DOI: 10.3784/jbjc.202103010096
Zhao Jia, Su Xuemei, Ma Rui. Design and implementation of data analysis platform of infectious disease syndromes and pathogen surveillance based on cloud computing technology[J]. Disease Surveillance, 2021, 36(11): 1190-1195. DOI: 10.3784/jbjc.202103010096
Citation: Zhao Jia, Su Xuemei, Ma Rui. Design and implementation of data analysis platform of infectious disease syndromes and pathogen surveillance based on cloud computing technology[J]. Disease Surveillance, 2021, 36(11): 1190-1195. DOI: 10.3784/jbjc.202103010096

基于云计算的传染病症候群与病原学监测数据分析平台设计与实现

Design and implementation of data analysis platform of infectious disease syndromes and pathogen surveillance based on cloud computing technology

  • 摘要:
      目的  传染病监测技术平台信息管理系统于“十一五”期间依托项目建设,为传染病监测提供信息化支持。 经过多年运行,系统已不能满足新的信息管理需求,且采集数据敏感、用户类型复杂,系统的安全性面临一定挑战。
      方法  从业务需求、架构设计、系统部署等方面,阐述传染病症候群与病原学监测数据分析平台设计与实现,并分析平台应用效果。
      结果  通过构建传染病症候群与病原学监测网络信息云平台,实现已建系统同新建设的传染病症候群与病原学监测综合分析平台、病原组学信息共享平台的统一集成与云部署应用,提供可视化统计分析结果展示,提升了数据应用价值。
      结论  平台有效控制资源访问,保证用户身份真实可信,促进资源融合,为科学决策探索科技支撑路径。

     

    Abstract:
      Objective  During the 11th national five-year plan period, the information management system for infectious disease surveillance platform was established to provide information support for infectious disease surveillance. However, the system can not meet the new needs of information management after the operation for years, facing a series of challenges, such as the high sensitivity of data collection and complexity of users.
      Methods  This paper expounds the design and implementation of infectious disease syndromes and pathogen surveillance information analysis platform from the aspects of business requirements, structure design, system deployment, etc. and evaluate the application of the platform.
      Results  China CDC has established the cloud platform of infectious disease syndromes and pathogen surveillance information for the integration of existing system, newly established infectious disease syndromes and pathogen surveillance information analysis platform and pathogen genomics information platform to provide visualized statistical analysis results, which can improve the application value of the data.
      Conclusion  The platform can control the access to resources effectively, ensure the authenticity and credibility of user's identity and improve the integration of resources to support scientific decision making.

     

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