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陈晓慧, 徐立, 葛磊, 张兵, 车森, 刘海砚. 传染病传播数据可视分析综述[J]. 计算机辅助设计与图形学学报, 2020, 32(10): 1581-1593. DOI: 10.3724/SP.J.1089.2020.18490
引用本文: 陈晓慧, 徐立, 葛磊, 张兵, 车森, 刘海砚. 传染病传播数据可视分析综述[J]. 计算机辅助设计与图形学学报, 2020, 32(10): 1581-1593. DOI: 10.3724/SP.J.1089.2020.18490
Chen Xiaohui, Xu Li, Ge Lei, Zhang Bing, Che Sen, Liu Haiyan. A Survey of Infectious Disease Transmission Data Visual Analysis[J]. Journal of Computer-Aided Design & Computer Graphics, 2020, 32(10): 1581-1593. DOI: 10.3724/SP.J.1089.2020.18490
Citation: Chen Xiaohui, Xu Li, Ge Lei, Zhang Bing, Che Sen, Liu Haiyan. A Survey of Infectious Disease Transmission Data Visual Analysis[J]. Journal of Computer-Aided Design & Computer Graphics, 2020, 32(10): 1581-1593. DOI: 10.3724/SP.J.1089.2020.18490

传染病传播数据可视分析综述

A Survey of Infectious Disease Transmission Data Visual Analysis

  • 摘要: 近年来,各类恶性传染病频繁暴发,治理和防控难度越来越大,对人类健康、经济发展和社会稳定构成严重威胁.对传染病传播数据进行分析,有利于快速理解传染病传播过程和发展规律,为防控提供科学依据.传染病传播数据是具有时空特性的、蕴含流行病学特性的数据集合体,具有空间属性特征、时序属性特征和语义属性特征.文中根据传染病传播数据的特征,按照基于地图、基于时空立方体、基于时序和基于关系4种分类总结了传染病传播数据的可视化方法,简述了可视分析任务,即时空分布分析、关联因素分析、趋势预测分析,以及相对应的可视分析工具.最后,总结了对传染病传播数据可视化领域的困难与难点,并预测了发展趋势,以期为传染病传播分析提供新的角度.

     

    Abstract: Infectious disease transmission data is a data set composed of multiple data types,with spatial attribute characteristics,time series attribute characteristics and semantic attribute characteristics.Recently,the visualization of infectious disease transmission data has been widely introduced for spatio-temporal distribution characteristics analyzing,related factors analyzing and propagation trends prediction.This paper introduces the characteristics of infectious disease transmission data,and summarizes the related work from two aspects,namely,visualization methods and visual analysis of infectious disease transmission data.For the first issue,four categories are classified:map-based,space time cube-based,time series-based and relationship-based.For the second issue,three visual analysis tasks are summarized:spatio-temporal distribution analysis,correlation factor analysis,trend monitoring and prediction.Then,the existing visual analysis tools are introduced from the perspective of these visual analysis tasks.Finally,the challenges and development trends of infectious disease data visualization are summarized and prospected.

     

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