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

JMIR Theme Issue: COVID-19 Special Issue (2453) Machine Learning (1471) Infectious Diseases (non-STD/STI) (1576) Outbreak and Pandemic Preparedness and Management (1728) Statistical Methods for Surveillance and Population Health (156) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1518)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19907, first published .
Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation

Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation

Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation

Authors of this article:

Se Young Jung1, 2 Author Orcid Image ;   Hyeontae Jo3 Author Orcid Image ;   Hwijae Son4 Author Orcid Image ;   Hyung Ju Hwang4 Author Orcid Image
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