This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2094) Machine Learning (1009) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1331)

Published on in Vol 22 , No 8 (2020) :August

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.05.31.20118414v1 , first published .
Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques

Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques

Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques

Authors of this article:

Qi Deng 1, 2, 3 Author Orcid Image
Article Authors Cited by (11) Tweetations (6) Metrics
Qi Deng 1, 2, 3 , BSc, MBA, MSEE, DBA

1 College of Economics and Management , China-Africa International Business School , Zhejiang Normal University , Jinhua , CN

2 Cofintelligence Financial Technology Ltd. , Shanghai , CN

3 Cofintelligence Financial Technology Ltd. , Hong Kong , HK

Corresponding Author:

  • Qi Deng , BSc, MBA, MSEE, DBA
  • College of Economics and Management
  • China-Africa International Business School
  • Zhejiang Normal University
  • 688 Yingbin Avenue
  • Jinhua
  • CN
  • Phone: 86 13811402549
  • Email: qi.deng@zjnu.edu.cn