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

JMIR Theme Issue: COVID-19 Special Issue (4238) Clinical Informatics (2391) Epidemiology (254) Artificial Intelligence (5024)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79745, first published .
Doctor wearing mask and stethoscope in hospital room

Systematic Determinants of Global COVID-19 Burden: Longitudinal Time-Series Analysis Using Big Data-Driven Artificial Intelligence

Systematic Determinants of Global COVID-19 Burden: Longitudinal Time-Series Analysis Using Big Data-Driven Artificial Intelligence

Authors of this article:

Zicheng Cao1, 2, 3 Author Orcid Image ;   Wenjie Han2, 3 Author Orcid Image ;   Xue Zhang2, 3 Author Orcid Image ;   Chi Zhang2, 3 Author Orcid Image ;   Jinfeng Zeng2, 3, 4 Author Orcid Image ;   Yilin Chen2, 3 Author Orcid Image ;   Haoyu Long2, 3, 5 Author Orcid Image ;   Jian Chen2, 3 Author Orcid Image ;   Xiangjun Du2, 3, 6, 7 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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  2. Mei X, Feng S, Xie W, Sun Y, Wang L, Lin X, Yu H, Li J, Zhu L. A population-based retrospective machine learning study of COVID-19 severity using integrated clinical and viral genomic data in Jiangsu Province, China. BMC Microbiology 2026;26(1) View