COVID19 Tracking: An Interactive Tracking, Visualizing and Analyzing Platform
Zhou Yang, Jiwei Xu, Zhenhe Pan, Fang Jin

TL;DR
This paper introduces a comprehensive interactive platform for tracking, visualizing, and analyzing COVID-19 data globally, aiding understanding of the pandemic's dynamics through various visual and comparative tools.
Contribution
It presents a novel platform integrating multiple visualization and analysis components for COVID-19 data at global and China-specific levels.
Findings
Effective visualization of worldwide COVID-19 cases
Multi-grained trend analysis of COVID-19
Insights into China's epidemic control measures
Abstract
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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Taxonomy
TopicsData Visualization and Analytics · Computational Physics and Python Applications · Data Analysis with R
