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.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1927-7032
  • ISSN(Online): 1927-7040
  • Started: 2012
  • Frequency: bimonthly

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