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Discretionary Corrigenda (87)

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

Authors of this article:

Dianbo Liu1, 2 Author Orcid Image ;   Leonardo Clemente1, 2, 3 Author Orcid Image ;   Canelle Poirier1, 2 Author Orcid Image ;   Xiyu Ding1, 4 Author Orcid Image ;   Matteo Chinazzi5 Author Orcid Image ;   Jessica Davis5 Author Orcid Image ;   Alessandro Vespignani5, 6 Author Orcid Image ;   Mauricio Santillana1, 2, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

    Corrigenda and Addenda

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

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

    3Tecnologico de Monterrey, Monterrey, Mexico

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

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

    6ISI 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



    In “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;22(8):e20285) the authors noted three errors.

    The order of authors in the original article was listed as:

    Canelle Poirier, Dianbo Liu, Leonardo Clemente, Xiyu Ding, Matteo Chinazzi, Jessica Davis, Alessandro Vespignani, Mauricio Santillana

    The correct order of authors is:

    Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica Davis, Alessandro Vespignani, Mauricio Santillana

    As well, degree information for authors Leonardo Clemente, Xiyu Ding, and Jessica Davis was listed incorrectly as "MD" in the original article. The correct degree for Leonardo Clemente and Xiyu Ding is "MSc"; the correct degree for Jessica Davis is "BSc".

    The correction will appear in the online version of the paper on the JMIR Publications website on September 22, 2020, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    This is a non–peer-reviewed article. submitted 31.08.20; accepted 01.09.20; published 22.09.20.

    Copyright

    ©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.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.