CORRECTION article

Front. Psychiatry, 23 June 2025

Sec. Computational Psychiatry

Volume 16 - 2025 | https://doi.org/10.3389/fpsyt.2025.1642874

Correction: Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: a network approach analysis

  • 1. Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, China

  • 2. UNC Project-China, UNC Global, School of Medicine, The University of North Carolina, Chapel Hill, NC, United States

  • 3. Guangzhou Baiyun International Airport Co., Ltd, Guangzhou, China

  • 4. School of Information Management, Wuhan University, Wuhan, China

  • 5. Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

  • 6. School of Traffic and Transportation Engineering, Central South University, Changsha, China

  • 7. School of Data Science, City University of Hong Kong, Kowloon, Hong Kong SAR, China

  • 8. School of Public Health, Sun Yat-Sen University, Guangzhou, China

  • 9. Health Medicine Department, Guangdong Second Provincial General Hospital, Guangzhou, China

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An incorrect Funding statement was provided. The authors previously used the funding proposal application numbers instead of grant numbers. The statement previously said:

“This work was supported by the Key-Area Research and Development Program of Guangdong Province (2020B0101130020), and by the Guangzhou Science and Technology Project (No. SL2022A03J00781 and No. SL2022A04J01130)”.

The corrected statement appears below:

“This work was supported by the Key-Area Research and Development Program of Guangdong Province (2020B0101130020), and by the Guangzhou Science and Technology Project (No. 2023A03J0286 and No. 2023A04J1715)”.

The original version of this article has been updated.

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Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

occupational burnout, network science, health management, exponential random graph model, social networks

Citation

Jing F, Cheng M, Li J, He C, Ren H, Zhou J, Zhou H, Xu Z, Chen W and Cheng W (2025) Correction: Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: a network approach analysis. Front. Psychiatry 16:1642874. doi: 10.3389/fpsyt.2025.1642874

Received

07 June 2025

Accepted

09 June 2025

Published

23 June 2025

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

16 - 2025

Updates

Copyright

*Correspondence: Weibin Cheng,

†These authors have contributed equally to this work and share first authorship

‡These authors share senior authorship

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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