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Prediction of mental distress about COVID-19 among higher education students in Odisha, India
Data Science Applications of Post-COVID-19 Psychological Disorders ; : 63-83, 2022.
Article in English | Scopus | ID: covidwho-2125989
ABSTRACT
COVID pandemic and the subsequent recent emergence of its different variants have posed significant challenges for continuing everyday lifestyle, including any educational institute's campus life. In contrast, educational institutes conduct classes, exams, placement, and other co-curricular activities online, offline, and hybrid modes. Because of this, we have achieved a web-based survey on students about their mental health and other related issues such as anxiety, worry, disturbance, fear of infection, and mental anguish caused by COVID-19 in university undergraduates. 1100 pupils completed a digital survey in this crosssectional study. All these are college graduates from various universities in Bhubaneswar, India, and other universities in Odisha. COVID-19 awareness, nervousness, tension, panic, and mental illness in the past were used to screen the psychological distress. This paper reviews the current scenario of COVID-19 concerning psychological distress and related issues. Students' mental health can be affected by using the development of RST (rough set theory) principles. © 2022 Nova Science Publishers, Inc. All rights reserved.
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Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: Data Science Applications of Post-COVID-19 Psychological Disorders Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: Data Science Applications of Post-COVID-19 Psychological Disorders Year: 2022 Document Type: Article