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面向ECharts的疫情信息可视化系统 被引量:7

COVID-19 Information Visualization System Based on ECharts
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摘要 新型冠状病毒毒株的不断变异,抗体逃逸和传播能力大幅提升,已成为目前对人类威胁最大的传播性病毒体之一。为了能够更清晰地了解当前疫情的发展状况,及时地获取病毒传播状况以采取有效的防御措施降低被病毒感染的几率,本文利用疫情实时数据接口,通过部署定时爬虫抓取的肺炎疫情实时数据进行数据分析,然后利用ECharts多样化的图表,以网页的形式实现疫情数据的可视化,开发了基于ECharts的COVID-19疫情信息可视化系统。该系统以直观的方式提供疫情数据参考、预测等功能,进一步提升大众的社会风险信息感知能力。此外,还可以甄别网络舆论信息与虚假数据,展示真实可靠的资讯,加强抗疫中的科技信息共享,向公众传播预防知识。 The continuous mutation of novel coronavirus strains, the escape of antibodies and the improvement of transmission capacity have made them one of the most dangerous transmissible viruses to human beings. In order to be able to more clearly understand the development of the current state of the epidemic, the conditions for the spread of the virus in a timely manner to take effective defense measures to reduce the risk of infection by the virus, this paper, by using real-time data interface, epidemic by deploying timing spiders crawling pneumonia outbreak of real-time data for data analysis, and then use ECharts variety of charts, A COVID-19 information visualization system based on ECharts was developed to realize the visualization of epidemic data in the form of web pages. The system provides information reference and prediction of epidemic data in an intuitive way to further improve the public’s ability to perceive social risk information. In addition, it can screen online public opinion information and false data, display real and reliable information, and spread prevention knowledge to the public.
作者 彭曙光 王梦梅 赵麒博 申刘宝 彭玉杰 陆雪艳 PENG Shuguang;WANG Mengmei;ZHAO Qibo;SHEN Liubao;PENG Yujie;LU Xueyan(Department of Artificial Intelligence and Software,Kewen College of Jiangsu Normal University,Xuzhou,China,221132)
出处 《福建电脑》 2022年第4期80-83,共4页 Journal of Fujian Computer
基金 江苏省大学生创新创业训练计划项目(No.202113988012Y)资助。
关键词 COVID-19 数据可视化 疫情预测 ECharts COVID-19 Data Visualization Epidemic Prediction ECharts
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