Cargando…
<Editors’ Choice> Developing online lectures using text mining reduces health workers’ anxiety in non-epicenter areas of COVID-19
COVID-19 is indirectly associated with various mental disorders such as anxiety, insomnia, and depression, and healthcare professionals who treat COVID-19 patients are particularly prone to severe anxiety. However, neither the anxiety of healthcare workers in non-epicenter areas nor the effects of k...
Autores principales: | Ogasawara, Masahiko, Uematsu, Haruhiro, Hayashi, Kuniyoshi, Osugi, Yasuhiro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nagoya University
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971037/ https://www.ncbi.nlm.nih.gov/pubmed/35392011 http://dx.doi.org/10.18999/nagjms.84.1.42 |
Ejemplares similares
-
Editors’ comments: The Covid-19 epidemic in Italy, a European epicenter
por: Casti, Emanuela, et al.
Publicado: (2021) -
Anxiety, Distress, and Turnover Intention of Healthcare Workers in Peru by Their Distance to the Epicenter during the COVID-19 Crisis
por: Yáñez, Jaime A., et al.
Publicado: (2020) -
Evaluation of an online text simplification editor using manual and automated metrics for perceived and actual text difficulty
por: Leroy, Gondy, et al.
Publicado: (2022) -
A snapshot of emergency department volumes in the “epicenter of the epicenter” of the COVID-19 pandemic
por: Feldman, Nicola, et al.
Publicado: (2021) -
Online Brand Community User Segments: A Text Mining Approach
por: Ge, Ruichen, et al.
Publicado: (2022)