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Optimizing the dynamic zero-COVID policy in China
Wei Bai1,2,3; Sha Sha4; Teris Cheung5; Zhaohui Su6; Todd Jackson7; Yu-Tao Xiang1,2,3
2022
Source PublicationInternational Journal of Biological Sciences
ISSN1449-2288
Volume18Issue:14Pages:5314-5316
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.

DOI10.7150/ijbs.75699
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaBiochemistry & Molecular Biology ; Life Sciences & Biomedicine - Other Topics
WOS SubjectBiochemistry & Molecular Biology ; Biology
WOS IDWOS:000874482900003
PublisherIVYSPRING INT PUBLPO BOX 4546, LAKE HAVEN, NSW 2263, AUSTRALIA
Scopus ID2-s2.0-85137345588
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionInstitute of Translational Medicine
Faculty of Health Sciences
Faculty of Social Sciences
DEPARTMENT OF PSYCHOLOGY
INSTITUTE OF COLLABORATIVE INNOVATION
INSTITUTE OF ADVANCED STUDIES IN HUMANITIES AND SOCIAL SCIENCES
DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION
Corresponding AuthorYu-Tao Xiang
Affiliation1.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
First Author AffilicationFaculty of Health Sciences;  University of Macau
Corresponding Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Wei Bai,Sha Sha,Teris Cheung,et al. Optimizing the dynamic zero-COVID policy in China[J]. International Journal of Biological Sciences, 2022, 18(14), 5314-5316.
APA Wei Bai., Sha Sha., Teris Cheung., Zhaohui Su., Todd Jackson., & Yu-Tao Xiang (2022). Optimizing the dynamic zero-COVID policy in China. International Journal of Biological Sciences, 18(14), 5314-5316.
MLA Wei Bai,et al."Optimizing the dynamic zero-COVID policy in China".International Journal of Biological Sciences 18.14(2022):5314-5316.
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