SARS经历对新冠病毒恐惧的印记效应：人工智能和大数据的作用。
The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data.
作者信息
Yao Haitang, Liu Wei, Wu Chia-Huei, Yuan Yu-Hsi
机构信息
Business School Qingdao University, Qingdao 266110, China.
Department of Hotel Management and Culinary Creativity, Minghsin University of Science and Technology, Hsinchu 304, Taiwan.
出版信息
Socioecon Plann Sci. 2022 Mar;80:101086. doi: 10.1016/j.seps.2021.101086. Epub 2021 May 27.
Abstract
The worldwide outbreak of the COVID-19 has significantly increased the fear of individuals, which brings severe psychosocial stress and adverse psychological consequences, and become a serious public health problem. Based on the imprinting theory, this study investigates whether childhood experiences of SARS have an imprinting effect that significantly influences the fear of COVID-19. Furthermore, we propose that this effect is contingent on the applications of AI and big data. We test our framework with a sample of 1871 questionnaires that covered students in universities across all provincial regions in China, and the results suggest that the imprinting of SARS increases the individuals' fear of COVID-19, and this effect is reduced with the applications of AI and big data. Overall, this study provides a novel insight of the fear caused by the childhood experience of the similar health crisis and the unique role of AI and big data applications into fighting against COVID-19.
摘要
新型冠状病毒肺炎（COVID-19）在全球范围内的爆发显著加剧了个体的恐惧，这带来了严重的心理社会压力和不良心理后果，成为一个严重的公共卫生问题。基于印记理论，本研究调查了非典（SARS）的童年经历是否具有显著影响对COVID-19恐惧的印记效应。此外，我们提出这种效应取决于人工智能和大数据的应用。我们用1871份问卷样本对我们的框架进行了测试，这些问卷涵盖了中国所有省级行政区的大学生，结果表明，非典的印记增加了个体对COVID-19的恐惧，而这种效应会随着人工智能和大数据的应用而减弱。总体而言，本研究为类似健康危机的童年经历所引发的恐惧以及人工智能和大数据应用在抗击COVID-19中的独特作用提供了新的见解。
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Clin Neuropsychiatry. 2020 Apr;17(2):41-45. doi: 10.36131/CN20200202.
2
Exploring the Impact of COVID-19 on Mental Health Outcomes in Children and Adolescents: A Systematic Review.探讨 COVID-19 对儿童和青少年心理健康结果的影响：系统评价。
Int J Environ Res Public Health. 2020 Nov 16;17(22):8479. doi: 10.3390/ijerph17228479.
3
Weaving public health and safety nets to respond the COVID-19 pandemic.编织公共卫生和安全网以应对新冠疫情。
Saf Sci. 2021 Feb;134:105058. doi: 10.1016/j.ssci.2020.105058. Epub 2020 Oct 22.
4
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Internet Interv. 2020 Sep;21:100345. doi: 10.1016/j.invent.2020.100345. Epub 2020 Aug 27.
5
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