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A Real Time and Interactive Web-Based Platform for Visualizing and Analyzing COVID-19 in Canada

Author

Listed:
  • 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.

Suggested Citation

  • 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, 2020. "A Real Time and Interactive Web-Based Platform for Visualizing and Analyzing COVID-19 in Canada," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 9(5), pages 1-23, September.
    • Handle: RePEc:ibn:ijspjl:v:9:y:2020:i:5:p:23
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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