Identifying Predictors of University Students’ Wellbeing during the COVID-19 Pandemic—A Data-Driven Approach

Identifying Predictors of University Students’ Wellbeing during the COVID-19 Pandemic—A Data-Driven Approach

Background: The COVID-19 pandemic has posed risks to public mental health worldwide. University students, who are already recognised as a vulnerable population, are at elevated risk of mental health issues given COVID-19-related disruptions to higher education. To assist universities in effectively...

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Bibliographic Details
Main Authors: Chang Liu, Melinda McCabe, Andrew Dawson, Chad Cyrzon, Shruthi Shankar, Nardin Gerges, Sebastian Kellett-Renzella, Yann Chye, Kim Cornish
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:International Journal of Environmental Research and Public Health
Subjects:
COVID-19
university students
psychological wellbeing
machine learning
intervention
Online Access:https://www.mdpi.com/1660-4601/18/13/6730

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https://www.mdpi.com/1660-4601/18/13/6730

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