Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2022 Aug 21;18(14):5314-5316.
doi: 10.7150/ijbs.75699. eCollection 2022.

Optimizing the dynamic zero-COVID policy in China

Wei Bai  1   2   3 , Sha Sha  4 , Teris Cheung  5 , Zhaohui Su  6 , Todd Jackson  7 , Yu-Tao Xiang  1   2   3
Affiliations
Editorial

Optimizing the dynamic zero-COVID policy in China

Wei Bai et al. Int J Biol Sci. .

Abstract

There has been no consensus about the best public health strategy for managing COVID-19 due to differences in sociocultural, political and economic contexts between countries. The central government of China has emphasized the importance of maintaining the dynamic zero-COVID policy in combating resurgences of new variants. To optimize the dynamic zero-COVID policy for future COVID-19 outbreaks in China, this article outlines a comprehensive strategy that should be considered.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interest exists.

References

    1. Yuan S. Zero COVID in China: what next? The Lancet. 2022;399:1856–7. - PMC - PubMed
    1. Jue L, Min L, Wannian L. The Dynamic COVID-Zero Strategy in China. China CDC Weekly. 2022;4:74–5. - PMC - PubMed
    1. Li W, Yang Y, Liu ZH, Zhao YJ, Zhang Q, Zhang L. et al. Progression of Mental Health Services during the COVID-19 Outbreak in China. Int J Biol Sci. 2020;16:1732–8. - PMC - PubMed
    1. Cai J, Deng X, Yang J, Sun K, Liu H, Chen Z, Modeling transmission of SARS-CoV-2 Omicron in China. Nature Medicine. 2022. - PMC - PubMed
    1. Yifei M, Shujun X, Qi A, Mengxia Q, Sitian L, Kangkang L, Coronavirus disease 2019 epidemic prediction in Shanghai under the “dynamic zero-COVID policy” using time-dependent SEAIQR model. Journal of Biosafety and Biosecurity. 2022. - PMC - PubMed

Publication types