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题名

Modelling the reopen strategy from dynamic zero-COVID in China considering the sequela and reinfection

作者
通讯作者Yang,Lili
发表日期
2023-12-01
DOI
发表期刊
ISSN
2045-2322
EISSN
2045-2322
卷号13期号:1
摘要

Although the dynamic zero-COVID policy has effectively controlled virus spread in China, China has to face challenges in balancing social-economic burdens, vaccine protection, and the management of long COVID symptoms. This study proposed a fine-grained agent-based model to simulate various strategies for transitioning from a dynamic zero-COVID policy with a case study in Shenzhen. The results indicate that a gradual transition, maintaining some restrictions, can mitigate infection outbreaks. However, the severity and duration of epidemics vary based on the strictness of the measures. In contrast, a more direct transition to reopening may lead to rapid herd immunity but necessitate preparedness for potential sequelae and reinfections. Policymakers should assess healthcare capacity for severe cases and potential long-COVID symptoms and determine the most suitable approach tailored to local conditions.

相关链接[Scopus记录]
收录类别
语种
英语
学校署名
第一 ; 通讯
资助项目
Shenzhen Science and Technology Innovation Program[JCYJ20200109141218676] ; Shenzhen Science and Technology Innovation Program[JSGG20220301090202005] ; Shenzhen Science and Technology Innovation Program[ZDSYS20210623092007023]
WOS研究方向
Science & Technology - Other Topics
WOS类目
Multidisciplinary Sciences
WOS记录号
WOS:001025675700042
出版者
Scopus记录号
2-s2.0-85158815055
来源库
Scopus
引用统计
被引频次[WOS]:4
成果类型期刊论文
条目标识符//www.snoollab.com/handle/2SGJ60CL/536371
专题理学院_统计与数据科学系
医学院_公共卫生及应急管理学院
作者单位
1.Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen,518055,China
2.Institute for Transport Studies,University of Leeds,Leeds,LS2 9JT,United Kingdom
3.School of Public Health and Emergency Management,Southern University of Science and Technology,Shenzhen,518055,China
第一作者单位统计与数据科学系
通讯作者单位统计与数据科学系
第一作者的第一单位统计与数据科学系
推荐引用方式
GB/T 7714
Wu,Sijin,Huang,Zhejun,Grant-Muller,Susan,et al. Modelling the reopen strategy from dynamic zero-COVID in China considering the sequela and reinfection[J]. Scientific Reports,2023,13(1).
APA
Wu,Sijin,Huang,Zhejun,Grant-Muller,Susan,Gu,Dongfeng,&Yang,Lili.(2023).Modelling the reopen strategy from dynamic zero-COVID in China considering the sequela and reinfection.Scientific Reports,13(1).
MLA
Wu,Sijin,et al."Modelling the reopen strategy from dynamic zero-COVID in China considering the sequela and reinfection".Scientific Reports 13.1(2023).
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