摘要
目的:传染病症候群病原监测项目延续了3个五年计划,积累了大量的病原学监测信息,本研究旨在构建一种基于Web的传染病症候群病原监测可视化分析平台,有助于实现传染病的病原构成本底及病原谱时空变化的智能监测。方法:依托传染病监测技术平台,将符合监测定义的病例纳入研究,通过数据解耦合与重组,使用ECharts等相关可视化技术通过统计图表进行不同维度的分析与展示。结果:实现了"十一五"到"十三五"传染病症候群病原监测工作量及病原谱构成等多维度三级联动的动态可视化展示。结论:可视化的设计与实现使用户可以很容易地识别各症候群病原监测相关信息,多维动态的统计图表允许用户识别各类症候群病原构成及病原谱分析,为公共卫生决策提供支持。
Objective:The pathogen monitoring project of infectious disease syndrome has continued for three five-year plans and accumulated a large amount of pathogen monitoring information.This study aims to build a Web-based visual analysis platform for pathogen monitoring of infectious disease syndrome,which can help to realize the intelligent monitoring of the pathogen composition and background and temporal and spatial changes of pathogen spectrum of infectious diseases.Methods:Relying on the infectious disease monitoring technology platform,the cases consistent with the monitoring definition are included in the study.Through data decoupling and reconstitution,ECharts and other related visualization technologies are used for analysis and display of different dimensions through statistical charts.Results:The multi-dimensional dynamic visual display with three-level linkage such as pathogen monitoring workload and pathogen spectrum composition of infectious disease syndrome from the"11th Five-year Plan"to the"13th Fiveyear Plan"is realized.Conclusion:The design and implementation of visualization makes it easy for users to identify the related information of pathogen monitoring of each syndrome.The multi-dimensional and dynamic statistical charts allow users to identify the pathogen composition and pathogen spectrum analysis of various syndromes and provide support for public health decision-making.
作者
李少琼
苏雪梅
LI Shaoqiong;SU Xue-mei(Information Center,Chinese Center for Disease Control and Prevention,Beijing 102206,P.R.C.)
出处
《中国数字医学》
2021年第12期105-109,共5页
China Digital Medicine
基金
基于云计算技术传染病症候群病原监测大数据处理分析应用与共享平台建设(编号:2018ZX10713001-012)
关键词
传染病症候群
可视化
系统设计
病原谱
infectious disease syndrome
visualization
system design
pathogen spectrum
