Prediction models for sleep quality among frontline medical personnel during the COVID-19 pandemic: cross-sectional study based on internet new media

Prediction models for sleep quality among frontline medical personnel during the COVID-19 pandemic: cross-sectional study based on internet new media

BackgroundThe factors associated with sleep quality among medical personnel providing support on the frontline during the height of the COVID-19 pandemic remain unclear, and appropriate predictive and screening tools are lacking. This study was designed and conducted to investigate whether factors s...

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Bibliographic Details
Main Authors: Shangbin Huang, Qingquan Chen, Shengxun Qiu, Rongrong Dai, Ling Yao, Jiajing Zhuang, Zhijie Wu, Yifu Zeng, Jimin Fan, Yixiang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Public Health
Subjects:
sleep quality
medical personnel
COVID-19
machine learning sleep quality
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1406062/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1406062/full

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