04-01-2020 12:55 PM - last edited 04-01-2020 14:53 PM
A team of data scientists 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, the 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.
The COVID-19 case predictions are based on two models. The first model uses Mathematica and relies on ten days of data to predict the next five days. The second model uses the data science virtual machines in Microsoft Azure to predict the number of cases per day. The overall accuracy of predictions for the five-day period is illustrated in the second page of the dashboard.
The data is manually updated every morning, with a one-day lag. The date of the latest update is noted on the first and second page of the dashboard. In the coming days, the dashboard will have automated updates.