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Cited by 331

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The COVID-19 outbreak and psychiatric hospitals in China: managing challenges through mental health service reform

Open access
Xiang, Yu-Tao, Zhao, Yan-Jie, Liu, Zi-Han, Li, Xiao-Hong, Zhao, Na, Cheung, Teris, Ng, Chee H.·2020·International Journal of Biological Sciences

Abstract

Recently, more than 300 Chinese patients with psychiatric disorders were diagnosed with the 2019 novel coronavirus disease (COVID-19). Possible reasons quoted in the report were the lack of caution regarding the COVID-19 outbreak in January and insufficient supplies of protective gear. We outlined major challenges for patients with psychiatric disorders and mental health professionals during the COVID-19 outbreak, and also discussed how to manage these challenges through further mental health service reform in China.

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Crossref · 10.7150/ijbs.45072

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Metadata

Authors
Xiang, Y.-T., Zhao, Y.-J., Liu, Z.-H., Li, X.-H., Zhao, N., Cheung, T., & Ng, C. H.
Venue
International Journal of Biological Sciences
Published
2020
Volume
16
Issue
10
Pages
1741-1744
ISSN
1449-2288 (ISSN-L)
OpenAlex
W3012906272
Cited by
331
References
2
FWCI
28.71
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The COVID-19 outbreak and psychiatric hospitals in China: managing challenges through mental health service reform. https://app.cochat.ai/papers/10.7150/ijbs.45072
The paper
Xiang, Y.-T., Zhao, Y.-J., Liu, Z.-H., Li, X.-H., Zhao, N., Cheung, T., & Ng, C. H. (2020). The COVID-19 outbreak and psychiatric hospitals in China: managing challenges through mental health service reform. International Journal of Biological Sciences. https://doi.org/10.7150/ijbs.45072

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.