ArticleSocio-economic planning sciences2022
The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data.
Article in Socio-economic planning sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development.Molecular biomedicine · 2025Review
- Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China.Socio-economic planning sciences · 2023Article
- Identifying and prioritizing resilient health system units to tackle the COVID-19 pandemic.Socio-economic planning sciences · 2023Article
- Mixed frequency composite indicators for measuring public sentiment in the EU.Quality & quantity · 2023Article
- Trust in Medical Professionals Moderates Depression in Hong Kong during COVID-19.Depression and anxiety · 2023Article
- A weighted approach for spatio-temporal clustering of COVID-19 spread in Italy.Spatial and spatio-temporal epidemiology · 2022Article
- Editorial for the special issue on "Transforming public health through artificial intelligence, machine learning and internet of things".Socio-economic planning sciences · 2022Article
- Lockdown Policies, Economic Support, and Mental Health: Evidence From the COVID-19 Pandemic in United States.Frontiers in public health · 2022Article
- Sadder but Wiser: The Role of SARS Imprinting and Firms' Recovery During the COVID-19 Pandemic.Frontiers in psychology · 2022Article
- Research on the influence mechanism and governance mechanism of digital divide for the elderly on wisdom healthcare: The role of artificial intelligence and big data.Frontiers in public health · 2022Article
- Teachers' adoption of an open and interactive e-book for teaching K-12 students Artificial Intelligence: a mixed methods inquiry.Smart learning environments · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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