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, United States

2 Department of Pediatrics, Harvard Medical School, Boston, MA, United States

3 Tecnologico de Monterrey, Monterrey, Mexico

4 Harvard TH Chan School of Public Health, Boston, MA, United States

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

6 ISI Foundation, Turin, Italy

*these authors contributed equally

Corresponding Author:

  • Mauricio Santillana, PhD
  • Computational Health Informatics Program
  • Boston Children’s Hospital
  • 300 Longwood Avenue
  • Landmark 5th Floor East
  • Boston, MA, 02215
  • United States
  • Phone: 1 (617) 919-1795
  • Email: msantill@g.harvard.edu