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Cited by 516

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Risk Management of COVID-19 by Universities in China

Open access
Wang, Chuanyi, Cheng, Zhe, Yue, Xiao-Guang, McAleer, Michael·2020·Journal of Risk and Financial Management

Abstract

The rapid spread of new coronaviruses throughout China and the world in 2019–2020 has had a great impact on China’s economic and social development. As the backbone of Chinese society, Chinese universities have made significant contributions to emergency risk management. Such contributions have been made primarily in the following areas: alumni resource collection, medical rescue and emergency management, mental health maintenance, control of staff mobility, and innovation in online education models. Through the support of these methods, Chinese universities have played a positive role in the prevention and control of the epidemic situation. However, they also face the problems of alumni’s economic development difficulties, the risk of deadly infection to medical rescue teams and health workers, infection of teachers and students, and the unsatisfactory application of information technology in resolving the crisis. In response to these risks and emergency problems, we propose some corresponding solutions for public dissemination, including issues related to medical security, emergency research, professional assistance, positive communication, and hierarchical information-based teaching.

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Crossref · 10.3390/jrfm13020036

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Metadata

Authors
Wang, C., Cheng, Z., Yue, X.-G., & McAleer, M.
Venue
Journal of Risk and Financial Management
Publisher
MDPI AG
Published
2020-02-19
Volume
13
Issue
2
Pages
36
ISSN
  • 1911-8066 (ISSN-L)
  • 1911-8074
OpenAlex
W3007743567
Cited by
516
References
1
FWCI
173.36
Type
journal article
Language
en
Open access
hybrid

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.