Int J Biol Sci 2022; 18(14):5314-5316. doi:10.7150/ijbs.75699 This issue Cite

Editorial

Optimizing the dynamic zero-COVID policy in China

Wei Bai, PhD1,2,3*, Sha Sha, MD4*, Teris Cheung, PhD5, Zhaohui Su, PhD6, Todd Jackson, PhD7, Yu-Tao Xiang, MD, PhD1,2,3✉

1. Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China.
2. Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
3. Institute of Advanced Studies in Humanities and Social Sciences, University of Macau, Macao SAR, China.
4. The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
5. School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China.
6. School of Public Health, Southeast University, Nanjing, China.
7. Department of Psychology, University of Macau, Taipa, Macao SAR, China.
*Equal contribution

Citation:
Bai W, Sha S, Cheung T, Su Z, Jackson T, Xiang YT. Optimizing the dynamic zero-COVID policy in China. Int J Biol Sci 2022; 18(14):5314-5316. doi:10.7150/ijbs.75699. https://www.ijbs.com/v18p5314.htm
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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.


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APA
Bai, W., Sha, S., Cheung, T., Su, Z., Jackson, T., Xiang, Y.T. (2022). Optimizing the dynamic zero-COVID policy in China. International Journal of Biological Sciences, 18(14), 5314-5316. https://doi.org/10.7150/ijbs.75699.

ACS
Bai, W.; Sha, S.; Cheung, T.; Su, Z.; Jackson, T.; Xiang, Y.T. Optimizing the dynamic zero-COVID policy in China. Int. J. Biol. Sci. 2022, 18 (14), 5314-5316. DOI: 10.7150/ijbs.75699.

NLM
Bai W, Sha S, Cheung T, Su Z, Jackson T, Xiang YT. Optimizing the dynamic zero-COVID policy in China. Int J Biol Sci 2022; 18(14):5314-5316. doi:10.7150/ijbs.75699. https://www.ijbs.com/v18p5314.htm

CSE
Bai W, Sha S, Cheung T, Su Z, Jackson T, Xiang YT. 2022. Optimizing the dynamic zero-COVID policy in China. Int J Biol Sci. 18(14):5314-5316.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
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