Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23996, first published .
Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models

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

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

Dianbo Liu 1, 2*, PhD;  Leonardo Clemente 1, 2, 3*, MSc;  Canelle Poirier 1, 2*, PhD;  Xiyu Ding 1, 4, MSc;  Matteo Chinazzi 5, PhD;  Jessica Davis 5, BSc;  Alessandro Vespignani 5, 6, PhD;  Mauricio Santillana 1, 2, 4, PhD

1 Computational Health Informatics Program, Boston Children’s Hospital , Boston, MA, US

2 Department of Pediatrics, Harvard Medical School , Boston, MA, US

3 Tecnologico de Monterrey , Monterrey , MX

4 Harvard TH Chan School of Public Health , Boston, MA, US

5 Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University , Boston, MA, US

6 ISI Foundation , Turin , IT

*these authors contributed equally

Corresponding Author:

  • Mauricio Santillana, PhD
  • Computational Health Informatics Program
  • Boston Children’s Hospital
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  • Phone: 1 (617) 919-1795
  • Email: msantill@g.harvard.edu