Open access
91
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH
A Nomogram-Based Study: A Way Forward to Predict the Anxiety Status in Medical Staff During the COVID-19 Pandemic
Zhihui Liu1 Department of General Practice, Henan Provincial People's Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China
https://orcid.org/0000-0003-3487-1640
Nazeer Hussain Khan2 Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, People’s Republic of China;3 Section of Basic Medical Subjects, Shu-Qing Medical College of Zhengzhou, Zhengzhou, People’s Republic of China
https://orcid.org/0000-0003-4380-233X
Lintao Wang4 The First Affiliated Hospital of Henan University, Kaifeng, People’s Republic of China
, Chun-Yang Zhang5 Department of Thoracic Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China;6 Department of General Thoracic Surgery, Hami Central Hospital, Hami, People’s Republic of ChinaCorrespondence[email protected] [email protected]
& Xin-Ying Ji2 Henan International Joint Laboratory for Nuclear Protein Regulation, School of Basic Medical Sciences, Henan University, Kaifeng, People’s Republic of China;7 Kaifeng Key Laboratory for Infectious Diseases and Biosafety, Kaifeng, People’s Republic of China;8 Faculty of Basic Medical Subjects, Shu-Qing Medical College of Zhengzhou, Zhengzhou, People’s Republic of China
Pages 2725-2733
|
Received 09 Aug 2022, Accepted 08 Nov 2022, Published online: 30 Nov 2022
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.