Identifying Predictors of Psychological Distress During COVID-19: A Machine Learning Approach

Identifying Predictors of Psychological Distress During COVID-19: A Machine Learning Approach

Scientific understanding about the psychological impact of the COVID-19 global pandemic is in its nascent stage. Prior research suggests that demographic factors, such as gender and age, are associated with greater distress during a global health crisis. Less is known about how emotion regulation im...

Full description

Bibliographic Details
Main Authors: Tracy A. Prout, Sigal Zilcha-Mano, Katie Aafjes-van Doorn, Vera Békés, Isabelle Christman-Cohen, Kathryn Whistler, Thomas Kui, Mariagrazia Di Giuseppe
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Psychology
Subjects:
COVID-19 pandemic
emotion regulation
somatization
machine learning
anxiety
depression
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2020.586202/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2020.586202/full

Similar Items