The DOI matches its Crossref record.
Economic impacts of Wuhan 2019‐nCoV on China and the world
Open accessAbstract
Uncertainties over the Wuhan 2019 Novel Coronavirus (2019-nCoV), which has killed 1,017 people and sickened more than 43,100 as of Feb 11,1 has interrupted global trade and supply chains, depressed asset prices, and forced multinational businesses to make hard decisions with limited information. This article is protected by copyright. All rights reserved.
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Cited by
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Buheji, M., da Costa Cunha, K., Beka, G., Mavrić, B., Leandro do Carmo de Souza, Y., Souza da Costa Silva, S., Hanafi, M., & Chetia Yein, T. (2020) · American Journal of Economics · doi:10.5923/j.economics.20201004.02 · Cited by 474
Lin, C.-Y., Broström, A., Griffiths, M. D., & Pakpour, A. H. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100345 · Cited by 269
Chauhan, V., Galwankar, S., Arquilla, B., Garg, M., Somma, S., El-Menyar, A., Krishnan, V., Gerber, J., Holland, R., & Stawicki, S. (2020) · Journal of Emergencies Trauma and Shock · doi:10.4103/jets.jets_32_20 · Cited by 234
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Metadata
- Authors
- Ayittey, F. K., Ayittey, M. K., Chiwero, N. B., Kamasah, J. S., & Dzuvor, C.
- Venue
- Journal of Medical Virology
- Publisher
- Wiley
- Published
- 2020-02-18
- Volume
- 92
- Issue
- 5
- Pages
- 473-475
- ISSN
- 0146-6615 (ISSN-L)
- 1096-9071
- OpenAlex
- W3005741104
- Cited by
- 507
- References
- 0
- FWCI
- 95.52
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Economic impacts of Wuhan 2019‐nCoV on China and the world. https://app.cochat.ai/papers/10.1002/jmv.25706
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- Ayittey, F. K., Ayittey, M. K., Chiwero, N. B., Kamasah, J. S., & Dzuvor, C. (2020). Economic impacts of Wuhan 2019‐nCoV on China and the world. Journal of Medical Virology. https://doi.org/10.1002/jmv.25706
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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.
