• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2024, Vol. 46 ›› Issue (08): 1466-1472.

• 人工智能与数据挖掘 • 上一篇    下一篇

基于健康码打卡数据的疫情轨迹描述模型研究#br#

万泽宇,张飞舟   

  1. (北京大学地球与空间科学学院,北京 100871)  

  • 收稿日期:2023-03-31 修回日期:2023-06-14 接受日期:2024-08-25 出版日期:2024-08-25 发布日期:2024-09-02
  • 基金资助:
    国家自然科学基金(61972148)

An epidemic trajectory description model based on health code punch-in data

WAN Ze-yu,ZHANG Fei-zhou   

  1. (School of Earth and Space Science,Peking University,Beijing 100871,China)
  • Received:2023-03-31 Revised:2023-06-14 Accepted:2024-08-25 Online:2024-08-25 Published:2024-09-02

摘要: 疫情深刻改变了世界格局,在现有的疫情时空建模分析中,缺乏对个体及其群体轨迹的准确描述,难以满足精准防疫需求。针对此问题,在分析现有的疫情时空分析方法、轨迹描述模型基础上,结合健康码打卡数据,以经纬度和时间为轴建立时空三维坐标系,以健康码打卡数据作为轨迹节点,呈现携带者以及密接者的时空轨迹,依次对单人、双人以及多人的轨迹进行准确描述,进而构建融合时空拓扑关系的“山”型轨迹描述模型,从而在三维坐标系中准确定位需要防控的时空范围,以达到精准防疫的目的。在Foursquare Dataset仿真数据集上的实验表明,“山”型轨迹模型有效缩小了排查范围,减少了排查人员数量,具有广阔的应用情景。 

关键词: 轨迹描述模型, 精准防疫, 健康码打卡

Abstract: The epidemic has profoundly changed the world’s landscape. In the current modeling and analysis of the epidemic’s spatiotemporal dynamics, there is a lack of accurate descriptions of individual and collective trajectories, making it difficult to meet the demands for precision epidemic prevention. To address this issue, based on the analysis of existing methods for spatiotemporal analysis of the epidemic and trajectory description models, combined with health code punch-in data, a spatiotemporal three- dimensional coordinate system is established with latitude and longitude as the x and y axes and time as the z axis. The health code punch-in data are used as trajectory nodes to present the spatiotemporal tra- jectories of carriers and close contacts. Individual, paired, and group trajectories are accurately described in sequence, thereby constructing a “mountain-shaped” trajectory description model that integrates spatiotemporal topological relationships. This model accurately locates the spatiotemporal range that needs to be controlled within the three-dimensional coordinate system, thereby achieving precise epidemic prevention. Experiments conducted on the Foursquare Dataset simulation dataset demonstrate that the “mountain” model effectively reduces the scope of investigation and the number of personnel, and it has broad application scenarios.

Key words: trajectory description model, precise epidemic prevention, health code punch-in data