Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.

Journal: Journal of medical Internet research
Published Date: Aug 17, 2020

Abstract

BACKGROUND: The inherent difficulty of identifying and monitoring emerging outbreaks caused by novel pathogens can lead to their rapid spread; and if left unchecked, they may become major public health threats to the planet. The ongoing coronavirus disease (COVID-19) outbreak, which has infected over 2,300,000 individuals and caused over 150,000 deaths, is an example of one of these catastrophic events.

Authors

  • Dianbo Liu
    Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge.
  • Leonardo Clemente
    Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States.
  • Canelle Poirier
    Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States.
  • Xiyu Ding
    Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States.
  • Matteo Chinazzi
    Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, United States.
  • Jessica Davis
    Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, United States.
  • Alessandro Vespignani
    Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, United States.
  • Mauricio Santillana
    Harvard School of Engineering and Applied Sciences, Cambridge, Massachusetts, United States of America; Boston Children's Hospital Informatics Program, Boston, Massachusetts, United States of America; Harvard Medical School, Boston, Massachusetts, United States of America.

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