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Cited by 600

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

COVID-19: a recommendation to examine the effect of hydroxychloroquine in preventing infection and progression

Open access
Zhou, Dan, Dai, Sheng-Ming, Tong, Qiang·2020·Journal of Antimicrobial Chemotherapy

Abstract

A novel coronavirus disease (COVID-19), caused by infection with SARS-CoV-2, has swept across 31 provinces in China and over 40 countries worldwide. The transition from first symptoms to acute respiratory distress syndrome (ARDS) is highly likely to be due to uncontrolled cytokine release. There is an urgent need to identify safe and effective drugs for treatment. Chloroquine (CQ) exhibits a promising inhibitory effect. However, the clinical use of CQ can cause severe side effects. We propose that hydroxychloroquine (HCQ), which exhibits an antiviral effect highly similar to that of CQ, could serve as a better therapeutic approach. HCQ is likely to attenuate the severe progression of COVID-19, inhibiting the cytokine storm by suppressing T cell activation. It has a safer clinical profile and is suitable for those who are pregnant. It is cheaper and more readily available in China. We herein strongly urge that clinical trials are performed to assess the preventive effects of HCQ in both disease infection and progression.

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Metadata

Authors
Zhou, D., Dai, S.-M., & Tong, Q.
Venue
Journal of Antimicrobial Chemotherapy
Published
2020-03-20
Volume
75
Issue
7
Pages
1667-1670
ISSN
  • 0305-7453 (ISSN-L)
  • 1460-2091
OpenAlex
W3012529899
Cited by
600
References
24
FWCI
17.35
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: COVID-19: a recommendation to examine the effect of hydroxychloroquine in preventing infection and progression. https://app.cochat.ai/papers/10.1093/jac/dkaa114
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Zhou, D., Dai, S.-M., & Tong, Q. (2020). COVID-19: a recommendation to examine the effect of hydroxychloroquine in preventing infection and progression. Journal of Antimicrobial Chemotherapy. https://doi.org/10.1093/jac/dkaa114

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.