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

JMIR Theme Issue: COVID-19 Special Issue (2452) Machine Learning (1465) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

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

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  11. Deng Q. Modeling the Omicron Dynamics and Development in China with a Deep Learning Enhanced Compartmental Model. SSRN Electronic Journal 2022 View
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