arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.04285cs.CY
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COVID19 Tracking:一个交互式跟踪、可视化和分析平台

COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform

Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin

摘要:

2019冠状病毒病(COVID-19)现已成为大流行病,造成数百万人死亡。为了更好地了解COVID-19的动态,我们提供了一个全面的COVID-19跟踪和可视化平台,可以精确地了解全球COVID-19的动态。实现了四个基本组成部分:1)呈现全球COVID-19确诊病例和总数的可视化地图; 2)在多粒度水平上显示COVID-19的全球趋势; 3)提供多视图比较,包括每百万人确诊病例,死亡率和累计治愈率; 4)整合中国疾病传播动态的多粒度视图,并显示中国如何控制疫情。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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