Attribution and regression analysis based on data of COVID-19 and character strengths

Xingni Wan

doi:10.1117/12.2669628

24 March 2023 Attribution and regression analysis based on data of COVID-19 and character strengths

Xingni Wan

Proceedings Volume 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022); 126114Z (2023) https://doi.org/10.1117/12.2669628
Event: International Conference on Biological Engineering and Medical Science (ICBioMed2022), 2022, Oxford, United Kingdom

Abstract

COVID-19's impact has continued in many sectors and has had a substantial impact on people's lives from 2019 until the present. During this period, human beings in many places experienced a long period of isolation, with or without symptoms. Aside from physical healing, increasing emphasis has been placed on the psychological This paper mainly investigates the relationship between self-efficacy and the personality of isolated people during this period. The multiple linear regression and random forest method were used to find the variables that had a significant impact on self-efficacy. According to the analysis, there is a negative correlation between self-energy efficiency and mental health and depression ratings, In the regression analysis, the influence of hope, choice of beauty, and zest are significant. Based on the random forest model, hope, zest, gradient, and persistence have significant effects on self-efficacy. These results shed light on providing help to those who need it more when the large-scale isolation policy is understaffed.

Citation Download Citation

Xingni Wan "Attribution and regression analysis based on data of COVID-19 and character strengths", Proc. SPIE 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022), 126114Z (24 March 2023); https://doi.org/10.1117/12.2669628

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