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    ARTICLE

    Modelling the Psychological Impact of COVID-19 in Saudi Arabia Using Machine Learning

    Mohammed A. Aleid1, Khaled A. Z. Alyamani2, Mohieddine Rahmouni2,3, Theyazn H. H. Aldhyani2,*, Nizar Alsharif4, Mohammed Y. Alzahrani4

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2029-2047, 2021, DOI:10.32604/cmc.2021.014873

    Abstract This article aims to assess health habits, safety behaviors, and anxiety factors in the community during the novel coronavirus disease (COVID-19) pandemic in Saudi Arabia based on primary data collected through a questionnaire with 320 respondents. In other words, this paper aims to provide empirical insights into the correlation and the correspondence between socio-demographic factors (gender, nationality, age, citizenship factors, income, and education), and psycho-behavioral effects on individuals in response to the emergence of this new pandemic. To focus on the interaction between these variables and their effects, we suggest different methods of analysis, comprising regression trees and support vector… More >

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