The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Insight into 2019 novel coronavirus — An updated interim review and lessons from SARS-CoV and MERS-CoV
Open accessAbstract
BACKGROUND: The rapid spread of the coronavirus disease 2019 (COVID-19), caused by a zoonotic beta-coronavirus entitled 2019 novel coronavirus (2019-nCoV), has become a global threat. Awareness of the biological features of 2019-nCoV should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions. METHODS: Based on recently published literature, official documents and selected up-to-date preprint studies, we reviewed the virology and origin, epidemiology, clinical manifestations, pathology and treatment of 2019-nCoV infection, in comparison with severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) infection. RESULTS: The genome of 2019-nCoV partially resembled SARS-CoV and MERS-CoV, and indicated a bat origin. The COVID-19 generally had a high reproductive number, a long incubation period, a short serial interval and a low case fatality rate (much higher in patients with comorbidities) than SARS and MERS. Clinical presentation and pathology of COVID-19 greatly resembled SARS and MERS, with less upper respiratory and gastrointestinal symptoms, and more exudative lesions in post-mortems. Potential treatments included remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible). CONCLUSION: The initial experience from the current pandemic and lessons from the previous two pandemics can help improve future preparedness plans and combat disease progression.
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1 retracted
Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China
Yang, Y., Lu, Q.-B., Liu, M.-J., Wang, Y.-X., Zhang, A.-R., Jalali, N., Dean, N. E., Longini, I., Halloran, M. E., Xu, B., et al. (2020) · medRxiv · doi:10.1101/2020.02.10.20021675 · Cited by 516
RetractedClinical 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
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Wu, Z., & McGoogan, J. M. (2020) · JAMA · doi:10.1001/jama.2020.2648 · Cited by 17,016
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Self-citation
Cited by
The SARS-CoV-2 main protease as drug target
Ullrich, S., & Nitsche, C. (2020) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2020.127377 · Cited by 772
Serial interval and incubation period of COVID-19: a systematic review and meta-analysis
Alene, M., Yismaw, L., Assemie, M. A., Ketema, D. B., Gietaneh, W., & Birhan, T. Y. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-021-05950-x · Cited by 354
Metadata
- Authors
- Xie, M., & Chen, Q.
- Venue
- International Journal of Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 94
- Pages
- 119-124
- ISSN
- 1201-9712 (ISSN-L)
- OpenAlex
- W3013552645
- Cited by
- 462
- References
- 50
- FWCI
- 13.01
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xie, M., & Chen, Q. (2020). Insight into 2019 novel coronavirus — An updated interim review and lessons from SARS-CoV and MERS-CoV. International Journal of Infectious Diseases. https://doi.org/10.1016/j.ijid.2020.03.071
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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