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; Leonardo Clemente; Canelle Poirier; Xiyu Ding; Matteo Chinazzi; Jessica Davis; Alessandro Vespignani; Mauricio Santillana

doi:10.2196/23996

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

J Med Internet Res. 2020 Sep 22;22(9):e23996. doi: 10.2196/23996.

Authors

Dianbo Liu^#^{1

2}, Leonardo Clemente^#^{1

2

3}, Canelle Poirier^#^{1

2}, Xiyu Ding^{1

4}, Matteo Chinazzi⁵, Jessica Davis⁵, Alessandro Vespignani^{5

6}, Mauricio Santillana^{1

2

4}

Affiliations

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.

^# Contributed equally.

PMID: 32960774
PMCID: PMC7539158
DOI: 10.2196/23996

Abstract

[This corrects the article DOI: 10.2196/20285.].

©Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica Davis, Alessandro Vespignani, Mauricio Santillana. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.09.2020.

Publication types

Published Erratum

Grants and funding

R01 GM130668/GM/NIGMS NIH HHS/United States