城市疫情态势发展与动态调控可视分析

Visual analytics of urban epidemic situation development and dynamic regulation

为了解决新冠肺炎疫情医疗资源的合理调配问题,以武汉方舱新冠肺炎疫情数据为基础,融合舆情、时空轨迹等多源数据,针对疫情防控搭建了方舱医院动态调控平台。引入水滴图表征方式动态监测方舱医院,采用主题模型融合情感词典提取群众情感特征,并借助WordStream呈现城市舆情发展,提出基于医院负载量的路径规划算法实现合理路线推荐,提供面向群众的科普信息和城市复苏板块以提升抗疫信心。该系统有利于实现人力、物力的合理配置,及时引导群众的情绪动向,关注新政策/决定发布后的舆情变化,减缓患者聚集现象。最后,结合多组案例分析验证了系统的功能性和有效性。

In order to solve the reasonable allocation of limited medical resources for patients,a visual platform for dynamic control of cabin hospital was built based on the dataset of the COVID-19 epidemic in Wuhan cabin hospital,which integrates multi-source data such as public opinion,space-time trajectory and science popularization.The dropping-water diagram was introduced to dynamically monitor the overall situation of the cabin hospital.The theme model and sentiment dictionary were used to extract the emotional features of the masses,the WordStream were used to visually present the trend of urban public opinion.The path planning algorithm based on hospital load capacity were built for treatment route,the population-oriented science information of access to cabin hospital and the urban recovery model can enhance anti-epidemic confidence.The system is helpful to realize the reasonable allocation of human and material resources,timely guide the emotional trend of the masses,pay attention to the change of public opinion after the release of new polices/decisions,and slow down the phenomenon of patients gathering.The function and effectiveness of the system was verified by the analysis of several cases.