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

JMIR Theme Issue: COVID-19 Special Issue (2388) Machine Learning (1370) Hygiene and Infection Prevention (297) Infectious Diseases (non-STD/STI) (1478) Outbreak and Pandemic Preparedness and Management (1673) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23853, first published .
Impact of Systematic Factors on the Outbreak Outcomes of the Novel COVID-19 Disease in China: Factor Analysis Study

Impact of Systematic Factors on the Outbreak Outcomes of the Novel COVID-19 Disease in China: Factor Analysis Study

Impact of Systematic Factors on the Outbreak Outcomes of the Novel COVID-19 Disease in China: Factor Analysis Study

Authors of this article:

Zicheng Cao1 Author Orcid Image ;   Feng Tang1 Author Orcid Image ;   Cai Chen1 Author Orcid Image ;   Chi Zhang1 Author Orcid Image ;   Yichen Guo1 Author Orcid Image ;   Ruizhen Lin1 Author Orcid Image ;   Zhihong Huang1 Author Orcid Image ;   Yi Teng1 Author Orcid Image ;   Ting Xie1 Author Orcid Image ;   Yutian Xu2 Author Orcid Image ;   Yanxin Song3 Author Orcid Image ;   Feng Wu1 Author Orcid Image ;   Peipei Dong1 Author Orcid Image ;   Ganfeng Luo1 Author Orcid Image ;   Yawen Jiang1 Author Orcid Image ;   Huachun Zou1 Author Orcid Image ;   Yao-Qing Chen1 Author Orcid Image ;   Litao Sun1 Author Orcid Image ;   Yuelong Shu1 Author Orcid Image ;   Xiangjun Du1 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

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  9. Li M, Liu W, Wu J, Luo K, Liu Y, Zhang Y, Xiao S, Liu Z, Huang S, Liu J. Machine learning for the prediction of postoperative nosocomial pulmonary infection in patients with spinal cord injury. European Spine Journal 2023;32(11):3825 View
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