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

JMIR Theme Issue: COVID-19 Special Issue (2391) Machine Learning (1385) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Infectious Diseases (non-STD/STI) (1485) Outbreak and Pandemic Preparedness and Management (1675) Artificial Intelligence (1198) Innovative Methods in Public Health and Surveillance (306) Surveillance Systems (428)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24285, first published .
Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Authors of this article:

Yuanyuan Peng1 Author Orcid Image ;   Xinjian Chen2 Author Orcid Image ;   Yibiao Rong3 Author Orcid Image ;   Chi Pui Pang2, 4 Author Orcid Image ;   Xinjian Chen1 Author Orcid Image ;   Haoyu Chen2 Author Orcid Image
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