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5/25/2023 5:14:04 PM | Browse: 100 | Download: 0
Publication Name World Journal of Psychiatry
Manuscript ID 85104
Country China
Category Psychiatry
Manuscript Type Letter to the Editor
Article Title Digital interventions empowering mental health reconstruction among students after the COVID-19 pandemic
Manuscript Source Invited Manuscript
All Author List Xin-Qiao Liu, Yu-Xin Guo, Xin-Ran Zhang, Lin-Xin Zhang and Yi-fan Zhang
Funding Agency and Grant Number
Funding Agency Grant Number
Tianjin Philosophy and Social Science Planning Project “Research on Value-added Evaluation of Career Adaptability for Engineering Students Oriented towards Outstanding Engineers” No. TJJXQN22-001
Corresponding Author Xin-Qiao Liu, PhD, Associate Professor, School of Education, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China. xinqiaoliu@pku.edu.cn
Key Words Digital interventions; Artificial intelligence; Big data; Students; Mental health
Core Tip As the coronavirus disease 2019 (COVID-19) pandemic has gradually come to an end, a challenge that has emerged is how to restore the mental health of students after the pandemic. This paper contends that digital interventions are cutting-edge and that effective approaches should be fully utilized to address the impact of the COVID-19 pandemic on the mental health of students.
Citation Liu XQ, Guo YX, Zhang XR, Zhang LX, Zhang YF. Digital interventions empowering mental health reconstruction among students after the COVID-19 pandemic. World J Psychiatry 2023; 13(6): 397-401
2023-04-12 02:31
Peer-Review Started
2023-04-12 02:32
To Make the First Decision
Return for Revision
2023-05-12 01:56
2023-05-13 13:27
Second Decision
2023-05-24 02:49
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2023-05-25 17:14
Articles in Press
2023-05-25 17:14
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2023-06-09 09:13
ISSN 2220-3206 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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