Optimizing the dynamic zero-COVID policy in China

doi:10.7150/ijbs.75699

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 Sha⁴, Teris Cheung⁵, Zhaohui Su⁶, Todd Jackson⁷, Yu-Tao Xiang^{1

2

3}

Affiliations

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.

PMID: 36147473
PMCID: PMC9461673
DOI: 10.7150/ijbs.75699

Editorial

Optimizing the dynamic zero-COVID policy in China

Wei Bai et al. Int J Biol Sci. 2022.

. 2022 Aug 21;18(14):5314-5316.

doi: 10.7150/ijbs.75699. eCollection 2022.

Authors

Wei Bai^{1

2

3}, Sha Sha⁴, Teris Cheung⁵, Zhaohui Su⁶, Todd Jackson⁷, Yu-Tao Xiang^{1

2

3}

Affiliations

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.

PMID: 36147473
PMCID: PMC9461673
DOI: 10.7150/ijbs.75699

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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Conflict of interest statement

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

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References

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[1] Yuan S. Zero COVID in China: what next? The Lancet. 2022;399:1856–7. - PMC - PubMed

[2] Yuan S. Zero COVID in China: what next? The Lancet. 2022;399:1856–7. - PMC - PubMed

[3] Jue L, Min L, Wannian L. The Dynamic COVID-Zero Strategy in China. China CDC Weekly. 2022;4:74–5. - PMC - PubMed

[4] Jue L, Min L, Wannian L. The Dynamic COVID-Zero Strategy in China. China CDC Weekly. 2022;4:74–5. - PMC - PubMed

[5] 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

[6] 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

[7] 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

[8] 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

[9] 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

[10] 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

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Optimizing the dynamic zero-COVID policy in China

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Optimizing the dynamic zero-COVID policy in China

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