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Cited by 366

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Measures for diagnosing and treating infections by a novel coronavirus responsible for a pneumonia outbreak originating in Wuhan, China

Open access
Yu, Fei, Du, Lanying, Ojcius, David M., Pan, Chungen, Jiang, Shibo·2020·Microbes and Infection

Abstract

On 10 January 2020, a new coronavirus causing a pneumonia outbreak in Wuhan City in central China was denoted as 2019-nCoV by the World Health Organization (WHO). As of 24 January 2020, there were 887 confirmed cases of 2019-nCoV infection, including 26 deaths, reported in China and other countries. Therefore, combating this new virus and stopping the epidemic is a matter of urgency. Here, we focus on advances in research and development of fast diagnosis methods, as well as potential prophylactics and therapeutics to prevent or treat 2019-nCoV infection.

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Crossref · 10.1016/j.micinf.2020.01.003

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Metadata

Authors
Yu, F., Du, L., Ojcius, D. M., Pan, C., & Jiang, S.
Venue
Microbes and Infection
Publisher
Elsevier BV
Published
2020-03
Volume
22
Issue
2
Pages
74-79
ISSN
1286-4579 (ISSN-L)
OpenAlex
W3003191692
Cited by
366
References
6
FWCI
10.32
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Measures for diagnosing and treating infections by a novel coronavirus responsible for a pneumonia outbreak originating in Wuhan, China. https://app.cochat.ai/papers/10.1016/j.micinf.2020.01.003
The paper
Yu, F., Du, L., Ojcius, D. M., Pan, C., & Jiang, S. (2020). Measures for diagnosing and treating infections by a novel coronavirus responsible for a pneumonia outbreak originating in Wuhan, China. Microbes and Infection. https://doi.org/10.1016/j.micinf.2020.01.003

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.