| Literature DB >> 33582761 |
Nahia Idoiaga Mondragon1, Naiara Berasategi Sancho2, Amaia Eiguren Munitis3, Maria Dosil Santamaria4.
Abstract
In 2020, COVID-19, a new emerging infectious disease (EID), was spread throughout the world, including Europe. Spain, in particular, witnessed a significant outbreak of the pandemic. In consequence, all classes were cancelled and the Government declared a state of emergency, ordering the lockdown of the entire population from March to May. The aim of this research is to explore the impact of the COVID-19 outbreak on the representations of young university students from the University of the Basque Country and their emotional response when the crisis started. A free-association exercise was completed by 503 students from the University of the Basque Country (UPV/EHU) (Northern Spain). To analyze the content, the Reinert method was used with the Iramuteq software for lexical analysis. The results showed that students placed COVID-19 at a distance from the self, pointing out issues related to social response and disinformation, while showing concerns for self-related issues that are linked to negative emotions, academic consequences, and potentially close victims. The students' concerns were categorized at four main levels: the communicative-informative level, health-emotional level, community-social level, and academic level. All of this has created overwhelming feelings of nervousness, along with anger and emotional fatigue. These results indicate the necessity for universities to work from a holistic standpoint, not only in terms of responding to academic needs but also from psychological, communicative, social, health, and well-being perspectives. � The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.Entities:
Year: 2021 PMID: 33582761 PMCID: PMC7928864 DOI: 10.1093/her/cyab006
Source DB: PubMed Journal: Health Educ Res ISSN: 0268-1153
Fig. 1.The hierarchical clustering dendrogram of the free association with the most frequent words and the words with the greatest association χ2(1), P < 0.001.
Fig. 2.The multiple correspondence factor analysis produced by the descending hierarchical cluster analysis.