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Public health
Original research
Early detection of COVID-19 in China and the USA: summary of the implementation of a digital decision-support and disease surveillance tool

Authors

  • Yulin Hswen Epidemiology and Biostatistics, Bakar Computational Health Institute, University of California San Francisco, San Francisco, California, USAComputational Epidemiology Lab, Harvard Medical School, Boston, Massachusetts, USAInnovation Program, Boston Children’s Hospital, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • John S Brownstein Computational Epidemiology Lab, Harvard Medical School, Boston, Massachusetts, USAInnovation Program, Boston Children’s Hospital, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Xiang Xu Department of Statistics, Boston University, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Elad Yom-Tov Microsoft Research, Herzeliya, IsraelFaculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Yulin Hswen; yulin.hswen{at}ucsf.edu
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Citation

Hswen Y, Brownstein JS, Xu X, et al
Early detection of COVID-19 in China and the USA: summary of the implementation of a digital decision-support and disease surveillance tool
BMJ Open 2020;10:e041004. doi: 10.1136/bmjopen-2020-041004

Publication history

  • Received June 29, 2020
  • Revised November 14, 2020
  • Accepted November 17, 2020
  • First published December 10, 2020.
Online issue publication 
December 10, 2020
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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.