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
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DOI | |
发表期刊 | |
ISSN | 2045-2322
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EISSN | 2045-2322
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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
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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]
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WOS研究方向 | Science & Technology - Other Topics
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WOS类目 | Multidisciplinary Sciences
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WOS记录号 | WOS:001025675700042
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出版者 | |
Scopus记录号 | 2-s2.0-85158815055
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:4
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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).
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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).
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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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条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
Modelling the reopen(2359KB) | -- | -- | 限制开放 | -- |
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