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见树木更见森林:对中国社交距离对新冠病毒传播影响的整体看法

Seeing the forest and the trees: Holistic view of social distancing on the spread of COVID-19 in China.

作者信息

Yu Danlin, Zhang Yaojun, Meng Jun, Wang Xiaoxi, He Linfeng, Jia Meng, Ouyang Jie, Han Yu, Zhang Ge, Lu Yao

机构信息

Department of Earth and Environmental Studies, Montclair State University, Montclair, NJ, 07043, USA.

School of Applied Economics, Renmin University of China, Beijing, 100086, China.

出版信息

Appl Geogr. 2023 May;154:102941. doi: 10.1016/j.apgeog.2023.102941. Epub 2023 Mar 27.

DOI:10.1016/j.apgeog.2023.102941
PMID:37007437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10040366/
Abstract

The human social and behavioral activities play significant roles in the spread of COVID-19. Social-distancing centered non-pharmaceutical interventions (NPIs) are the best strategies to curb the spread of COVID-19 prior to an effective pharmaceutical or vaccine solution. This study investigates various social-distancing measures' impact on the spread of COVID-19 using advanced global and novel local geospatial techniques. Social distancing measures are acquired through website analysis, document text analysis, and other big data extraction strategies. A spatial panel regression model and a newly proposed geographically weighted panel regression model are applied to investigate the global and local relationships between the spread of COVID-19 and the various social distancing measures. Results from the combined global and local analyses confirm the effectiveness of NPI strategies to curb the spread of COVID-19. While global level strategies allow a nation to implement social distancing measures immediately at the beginning to minimize the impact of the disease, local level strategies fine tune such measures based on different times and places to provide targeted implementation to balance conflicting demands during the pandemic. The local level analysis further suggests that implementing different NPI strategies in different locations might allow us to battle unknown global pandemic more efficiently.

摘要

人类的社会和行为活动在新冠病毒传播中发挥着重要作用。以保持社交距离为核心的非药物干预措施(NPIs)是在有效药物或疫苗解决方案出现之前遏制新冠病毒传播的最佳策略。本研究运用先进的全球和新颖的局部地理空间技术,调查各种社交距离措施对新冠病毒传播的影响。社交距离措施通过网站分析、文档文本分析及其他大数据提取策略获取。应用空间面板回归模型和新提出的地理加权面板回归模型,研究新冠病毒传播与各种社交距离措施之间的全球和局部关系。全球和局部分析相结合的结果证实了非药物干预策略遏制新冠病毒传播的有效性。虽然全球层面的策略使一个国家能够在一开始就立即实施社交距离措施,以尽量减少疾病的影响,但地方层面的策略会根据不同时间和地点对这些措施进行微调,以便在疫情期间提供有针对性的实施方式,平衡相互冲突的需求。局部层面的分析进一步表明,在不同地点实施不同的非药物干预策略可能使我们更有效地应对未知的全球大流行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf3/10040366/688f0b5be1aa/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf3/10040366/e39b03c400f4/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf3/10040366/688f0b5be1aa/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf3/10040366/e39b03c400f4/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf3/10040366/688f0b5be1aa/gr2_lrg.jpg

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J Regul Econ. 2022;62(1-3):1-23. doi: 10.1007/s11149-022-09452-9. Epub 2022 Aug 22.
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Incubation Period of COVID-19 Caused by Unique SARS-CoV-2 Strains: A Systematic Review and Meta-analysis.新型严重急性呼吸综合征冠状病毒 2 株引起的 COVID-19 的潜伏期:系统评价和荟萃分析。
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Sci Rep. 2022 Jun 7;12(1):9369. doi: 10.1038/s41598-022-13403-x.
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Estimating COVID-19 cases and deaths prevented by non-pharmaceutical interventions, and the impact of individual actions: A retrospective model-based analysis.估算非药物干预措施预防的 COVID-19 病例和死亡人数,以及个体行动的影响:基于回顾性模型的分析。
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