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

JMIR Theme Issue: COVID-19 Special Issue (2461) Machine Learning (1504) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

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 Deng1, 2, 3 Author Orcid Image
Article Authors Cited by (16) Tweetations (5) 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, China

2 Cofintelligence Financial Technology Ltd., Shanghai, China

3 Cofintelligence Financial Technology Ltd., Hong Kong, China (Hong Kong)

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
  • China
  • Phone: 86 13811402549
  • Fax: 86 0579-82298567
  • Email: qi.deng@zjnu.edu.cn