A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates arXiv:2004.04019v1 [stat.OT] 8 Apr 2020 from mechanistic models Dianbo Liu†,1,2 , Leonardo Clemente†,1,2,3 ,...
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A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates arXiv:2004.04019v1 [stat.OT] 8 Apr 2020 from mechanistic models Dianbo Liu†,1,2 , Leonardo Clemente†,1,2,3 , Canelle Poirier†,1,2 , Xiyu Ding1,4 , Matteo Chinazzi5 , Jessica T Davis5 , Alessandro Vespignani5,6 , Mauricio Santillana∗,1,2,4 1 Computational Health Informatics Program, Boston Children’s Hospital, Boston MA 02215 2 Department of Pediatrics, Harvard Medical School, Boston MA 02215 3 Tecnolgico de Monterrey, 64849, Monterrey, N.L., Mexico 4 Harvard T.H. Chan School of Public Health, Boston MA 02215 5 Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA USA 6 ISI Foundation, Turin, Italy ∗ Corresponding author: Mauricio Santillana, msantill@g.harvard.edu † These authors contributed equally to this paper. Abstract We present a timely and novel methodology that combines disease estima
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