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• W4288049651 abstract "The COVID-19 pandemic imposes a tremendous burden upon society. Several studies have documented stressors and fears of COVID-19 for adult populations, but few studies pay attention to the COVID-19 stressors on children and adolescents. Assessing the stressors of COVID-19 on children and adolescents can provide the basis for interventions to bring children and adolescents' mental health out of the shadows. Entering the Era of Big Data, the psychological state can be assessed through integrative analysis of data. This study adopted a whole-group sampling method. After a new round of the COVID-19 epidemic caused by imported cases in Jiangsu and Fujian provinces of China, self-report questionnaires were sent to children and adolescents aged 10–18 years. 1815 valid questionnaires were collected. Data analysis was performed using SPSS and AMOS software (version 26). To revise and test the reliability and validity of the COVID-19 stressors scale for children and adolescents, as well as to investigate the differences in stressors between rural and urban based on Big-Data Mining. The results of this study indicate that the revised COVID-19 stressors scale, which includes a four-factor model of disease stressors, information stressors, measure stressors, and environmental stressors, has good reliability and validity for children and adolescents aged 10–18 years in a Chinese context. Big data-based demographic analysis showed that children and adolescents living in urban areas were generally less stressed about the COVID-19 epidemic than in rural areas." @default.
• W4288049651 created "2022-07-27" @default.
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• W4288049651 date "2022-02-26" @default.
• W4288049651 modified "2023-10-16" @default.
• W4288049651 title "Revision of the child and adolescent COVID-19 stressors scale and Big Data-Based Analysis of Disparities in Urban and Rural Areas" @default.
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• W4288049651 doi "https://doi.org/10.1145/3524383.3524393" @default.
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