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Statistics Department - UFMG/Brazil

Launch event of the book "Building a Platform for Data-Driven Pandemic Prediction: From Data Modeling to Visualization - The CovidLP Project"

Book Release "Building a Platform for Data-Driven Pandemic Prediction: From Data Modeling to Visualization - The CovidLP Project"

October 8th | 2pm BRT
www.youtube.com/cacufmg

Opening:
- Prof. Mario Campos, Dean of Research at UFMG
- Prof. Glaura da Conceição Franco, DEST - ICEx/UFMG

Book Editors:
- Prof. Dani Gamerman, DEST - ICEx/UFMG
- Prof. Marcos O. Prates, DEST - ICEx/UFMG
- Prof. Thais Paiva, DEST - ICEx/UFMG
- Prof. Vinicius Mayrink, DEST - ICEx/UFMG

The work brings together the results obtained under the CovidLP Project, which provides daily, short- and long-term forecasts of confirmed cases and deaths of COVID-19. In addition to the book, the project also includes an application that provides information for general use and a package for more advanced users that makes it possible to analyze pandemic data.

The CovidLP Project was developed by undergraduate and graduate students and professors from the Department of Statistics (DEST) of the Exact Sciences Institute (ICEx) at UFMG.