Prediction models for sleep quality among frontline medical personnel during the COVID-19 pandemic: cross-sectional study based on internet new media
During the height of the COVID-19 pandemic, the sleep quality of frontline medical personnel providing aid in Shanghai was influenced by multiple factors, and the DL model was found to have the strongest overall predictive efficacy for sleep quality.
Authors
- Yixiang Zhang (ORCID: https://orcid.org/0000-0002-2556-2195)
- Jiajing Zhuang (ORCID: https://orcid.org/0000-0001-7021-7852)
- Sufang Qiu (ORCID: https://orcid.org/0000-0001-7660-6955)
- Jimin Fan (ORCID: https://orcid.org/0009-0003-3610-2412)
- Zhijie Wu (ORCID: https://orcid.org/0009-0000-2237-9726)
- Ling Yao (ORCID: https://orcid.org/0000-0003-1086-5641)
- Yifu Zeng (ORCID: https://orcid.org/0000-0003-4239-3693)
- Sha Huang (ORCID: https://orcid.org/0000-0001-8419-0320)
- Qingquan Chen
- Rongrong Dai
Institutions
- Fujian Medical University (CN)
- Guangzhou University (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/fpubh.2025.1406062
- Primary Topic
- COVID-19 and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00