论文标题

COVID19跟踪:交互式跟踪,可视化和分析平台

COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform

论文作者

Yang, Zhou, Xu, Jiwei, Pan, Zhenhe, Jin, Fang

论文摘要

2019年冠状病毒病(Covid-19)现已成为大流行,造成数百万人,并造成数以万计的死亡。为了更好地理解Covid-19的动态,我们提出了一个全面的Covid-19跟踪和可视化平台,该平台指出了全球Covid-19的动态。实施了四个基本组成部分:1)呈现Covid-19的可视化图已确认的案例和全世界的总数; 2)在多元水平上显示Covid-19的全球趋势; 3)提供多视图比较,包括每百万人民确认的病例,死亡率和累积治疗率; 4)整合了中国疾病传播动态的多元透明观点,并显示了中国流行病的方式。

The Coronavirus Disease 2019 (COVID-19) has now become a pandemic, inflicting millions of people and causing tens of thousands of deaths. To better understand the dynamics of COVID-19, we present a comprehensive COVID-19 tracking and visualization platform that pinpoints the dynamics of the COVID-19 worldwide. Four essential components are implemented: 1) presenting the visualization map of COVID-19 confirmed cases and total counts all over the world; 2) showing the worldwide trends of COVID-19 at multi-grained levels; 3) provide multi-view comparisons, including confirmed cases per million people, mortality rate and accumulative cure rate; 4) integrating a multi-grained view of the disease spreading dynamics in China and showing how the epidemic is taken under control in China.

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