Foreign investment and national security.Export controls, sanctions and anti-money laundering.
Privacy, data protection and cybersecurity.In the Instructions section, you can follow a detailed description of all the features of our application. The application with short and long term forecasts can be accessed in the Predictions section. All the source code used in this project is available in our GitHub repository. Follow our latest posts and news on our Blog. The events that team members have participated in and the news mentioning our project are in the Events section. Changes on these conditions can cause substantial alterations on the predictions.įor more information on the statistical model behind the forecasts, see the Methodology section. Another important point is that the predictions are always based on the maintenance of conditions on the day the forecast was made, including isolation conditions. The predictions are accompanied by the respective probability intervals (or credibility, in statistical jargon) so that the user is always aware of the true uncertainty associated with each forecast provided. Our forecasts are updated daily, and may change based on new data that arrives every day. The second type of forecast is more comprehensive and aims to provide a full picture of the pandemic: when will the number of cases stop growing and start to decline? How many people will get sick? When can we expect the pandemic to end? In the current configuration, the application has two main types of results: short-term and long-term predictions. The first refers to prediction of number of deaths and confirmed cases for the immediate future (up to 1 to 2 weeks).
It originated as a challenge in a graduate course after the suspension of classes due to Covid19. This application is the result of a joint work by professors and graduate students from the Statistics Department at UFMG.
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