A Real Time and Interactive Web-Based Platform for Visualizing and Analyzing COVID-19 in Canada
- Dan Liu
- Yuan Du
- Yasin Khadem Charvadeh
- Jingyu Cui
- Li-Pang Chen
- Gansen Deng
- Qihuang Zhang
- Kaida Cai
- Joy He
- Wenqing He
- Grace Y. Yi
Abstract
In the midst of the global outbreak with over 300,000 worldwide death cases of COVID-19, Canada has reported 79,101 confirmed cases of the novel coronavirus (COVID-19) as of May 19, 2020, in which the severity differs from region to region. To provide a timely view and understanding of the evolving pandemic in Canada, we develop a real time interactive web-based platform which primarily includes data visualization and statistical analysis. The website highlights real time tracking of the development of COVID-19 with visualized graphs and forecasts future trends with applications of different statistical predictive models. By providing research-based statistical analysis, we are able to shed the light on the epidemiological characteristics of COVID-19. We also provide timely social news and preventive measures from the government on the website.
- Full Text: PDF
- DOI:10.5539/ijsp.v9n5p23
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