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 accessAbstract
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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Citations
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Self-citation
Cited by
Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy
Giordano, G., Blanchini, F., Bruno, R., Colaneri, P., Di Filippo, A., Di Matteo, A., & Colaneri, M. (2020) · Nature Medicine · doi:10.1038/s41591-020-0883-7 · Cited by 1,740
Zhang, W., Wang, Y., Yang, L., & Wang, C. (2020) · Journal of Risk and Financial Management · doi:10.3390/jrfm13030055 · Cited by 1,060
Self-citationKhan, Z. H., & Abid, M. I. (2026) · International Journal of Electrical Engineering & Education · doi:10.1177/0020720920988493 · Cited by 91
Beginning of the Pandemic: COVID-19-Elicited Anxiety as a Predictor of Working Memory Performance
Fellman, D., Ritakallio, L., Waris, O., Jylkkä, J., & Laine, M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.576466 · Cited by 21
“, 2020), and the COVID-19 pandemic is no exception (Duan and Zhu, 2020; Li et al., 2020; Ozamiz-Etxebarria et al., 2020; Wang et al., 2020).”
BackgroundDesigning a Hybrid Biopharmaceutical Laboratory Course to Enhance Content Flexibility and Access
Peng, P., Barham, G. R., Hunnicutt, W., Li, L., & Moment, A. J. (2020) · Journal of Chemical Education · doi:10.1021/acs.jchemed.0c00564 · Cited by 6
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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- Wang, C., Cheng, Z., Yue, X.-G., & McAleer, M. (2020). Risk Management of COVID-19 by Universities in China. Journal of Risk and Financial Management. https://doi.org/10.3390/jrfm13020036
Data sources
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.
