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PreprintCited by 516

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China

Open access
Yang, Yang, Lu, Qing-Bin, Liu, Ming-Jin, Wang, Yi-Xing, Zhang, An-Ran, Jalali, Neda, Dean, Natalie E., Longini, Ira, Halloran, M. Elizabeth, Xu, Bo, Zhang, Xiao-Ai, Wang, Li-Ping, Liu, Wei, Fang, Li-Qun·2020·medRxiv

Abstract

Our manuscript was based on surveillance cases of COVID-19 identified before January 26, 2020. As of February 20, 2020, the total number of confirmed cases in mainland China has reached 18 times of the number in our manuscript. While the methods and the main conclusions in our original analyses remain solid, we decided to withdraw this preprint for the time being, and will replace it with a more up-to-date version shortly. Should you have any comments or suggestions, please feel free to contact the corresponding author.

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Crossref · 10.1101/2020.02.10.20021675This paper is marked retracted.

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Metadata

Authors
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., Zhang, X.-A., Wang, L.-P., Liu, W., & Fang, L.-Q.
Venue
medRxiv
Publisher
openRxiv
Published
2020-02-11
OpenAlex
W3005929298
Cited by
516
References
7
Type
posted content
Language
en
Status
Retracted
Open access
green

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CoChat. (2026). Citation check: Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China. https://app.cochat.ai/papers/10.1101/2020.02.10.20021675
The paper
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., Zhang, X.-A., Wang, L.-P., Liu, W., & Fang, L.-Q. (2020). Epidemiological and clinical features of the 2019 novel coronavirus outbreak in China. medRxiv. https://doi.org/10.1101/2020.02.10.20021675

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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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