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

JMIR Theme Issue: COVID-19 Special Issue (4228) Clinical Informatics (2107) Epidemiology (244) Artificial Intelligence (4470)

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 (1) Tweetations (3) Metrics

Journals

  1. Chen J, Wang D, Fu J, Gong R, Chen Q, Tang J, Feng Z, Li H, Lin X, Li X. Prenatal exposure to residential greenness and artificial light at night and neurodevelopmental outcomes in children aged 4–12 years: A retrospective cohort study in China. Environmental Research 2026:125065 View