Schulich School of Business Develops Analytics Dashboard to Predict Spread of COVID-19 Cases
A team of scientists and data analysts at York University’s Schulich School of Business has developed an analytics dashboard that can provide daily insights into the spread of the COVID-19 global pandemic.
Using publicly available data from the Johns Hopkins Center for Systems Science and Engineering GIS platform and GitHub, Schulich’s COVID-19 Dynamics dashboard is able to predict the number of new COVID-19 cases over the next five days in each country around the world, with the added ability to view projected rate increases by region and province or state, where possible.
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“The numbers provided by the COVID-19 Dynamics dashboard could help decision makers make informed decisions,” says Dr. Murat Kristal, Director of Schulich’s Master of Management in Artificial Intelligence and Master of Business Analytics programs. “Even though our five-day accuracy is currently 67%, the one-day accuracy is over 90%. We also expect the five-day accuracy rate to improve as more data becomes available. Given how fast things are changing, this predictive data will be very helpful to policy makers, health care administrators and public officials.”
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Dr. Kristal worked on the dashboard together with colleagues at Schulich’s Centre of Excellence – Big Data and Analytics Leadership, including Dr. Ikjyot Singh Kohli, Senior Data Scientist and Mathematical Physicist, and David Elsner, a Visual Analytics and Modelling instructor.
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