人员流动与COVID-19传播:系统综述和未来方向

IF 2.7 Q1 GEOGRAPHY Annals of GIS Pub Date : 2021-02-05 DOI:10.1080/19475683.2022.2041725
Mengxi Zhang, Siqin Wang, T. Hu, Xiaokang Fu, Xiaoyue Wang, Yaxin Hu, B. Halloran, Zhenlong Li, Yunhe Cui, Haokun Liu, Zhimin Liu, S. Bao
{"title":"人员流动与COVID-19传播:系统综述和未来方向","authors":"Mengxi Zhang, Siqin Wang, T. Hu, Xiaokang Fu, Xiaoyue Wang, Yaxin Hu, B. Halloran, Zhenlong Li, Yunhe Cui, Haokun Liu, Zhimin Liu, S. Bao","doi":"10.1080/19475683.2022.2041725","DOIUrl":null,"url":null,"abstract":"ABSTRACT Without a widely distributed vaccine, controlling human mobility has been identified and promoted as the primary strategy to mitigate the transmission of COVID-19. Many studies have reported the relationship between human mobility and COVID-19 transmission by utilizing the spatial-temporal information of mobility data from various sources. To better understand the role of human mobility in the pandemic, we conducted a systematic review of articles that measure the relationship between human mobility and COVID-19 in terms of their data sources, mathematical models, and key findings. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, we selected 47 articles from the Web of Science Core Collection up to September 2020. Restricting human mobility reduced the transmission of COVID-19, although the effectiveness and stringency of policy implementation vary temporally and spatially across different stages of the pandemic. We call for prompt and sustainable measures to control the pandemic. We also recommend researchers 1) to enhance multi-disciplinary collaboration; 2) to adjust the implementation and stringency of mobility-control policies in corresponding to the rapid change of the pandemic; 3) to improve mathematical models used in analysing, simulating, and predicting the transmission of the disease; and 4) to enrich the source of mobility data to ensure data accuracy and suability.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"66 1","pages":"501 - 514"},"PeriodicalIF":2.7000,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":"{\"title\":\"Human mobility and COVID-19 transmission: a systematic review and future directions\",\"authors\":\"Mengxi Zhang, Siqin Wang, T. Hu, Xiaokang Fu, Xiaoyue Wang, Yaxin Hu, B. Halloran, Zhenlong Li, Yunhe Cui, Haokun Liu, Zhimin Liu, S. Bao\",\"doi\":\"10.1080/19475683.2022.2041725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Without a widely distributed vaccine, controlling human mobility has been identified and promoted as the primary strategy to mitigate the transmission of COVID-19. Many studies have reported the relationship between human mobility and COVID-19 transmission by utilizing the spatial-temporal information of mobility data from various sources. To better understand the role of human mobility in the pandemic, we conducted a systematic review of articles that measure the relationship between human mobility and COVID-19 in terms of their data sources, mathematical models, and key findings. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, we selected 47 articles from the Web of Science Core Collection up to September 2020. Restricting human mobility reduced the transmission of COVID-19, although the effectiveness and stringency of policy implementation vary temporally and spatially across different stages of the pandemic. We call for prompt and sustainable measures to control the pandemic. We also recommend researchers 1) to enhance multi-disciplinary collaboration; 2) to adjust the implementation and stringency of mobility-control policies in corresponding to the rapid change of the pandemic; 3) to improve mathematical models used in analysing, simulating, and predicting the transmission of the disease; and 4) to enrich the source of mobility data to ensure data accuracy and suability.\",\"PeriodicalId\":46270,\"journal\":{\"name\":\"Annals of GIS\",\"volume\":\"66 1\",\"pages\":\"501 - 514\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2021-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"42\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of GIS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/19475683.2022.2041725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of GIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19475683.2022.2041725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 42

摘要

在没有广泛分布的疫苗的情况下,控制人员流动已被确定并推广为减轻COVID-19传播的主要策略。许多研究利用各种来源的人员流动数据的时空信息,报道了人员流动与COVID-19传播的关系。为了更好地了解人员流动在大流行中的作用,我们从数据来源、数学模型和主要发现等方面对衡量人员流动与COVID-19之间关系的文章进行了系统回顾。根据系统评价和荟萃分析首选报告项目(PRISMA)声明的指导方针,我们从Web of Science核心馆藏中选择了截至2020年9月的47篇文章。限制人员流动减少了COVID-19的传播,尽管在大流行的不同阶段,政策执行的有效性和严格程度在时间和空间上有所不同。我们呼吁采取迅速和可持续的措施来控制这一流行病。我们也建议研究者1)加强多学科合作;2)根据疫情的快速变化,调整流动控制政策的实施和力度;3)改进用于分析、模拟和预测疾病传播的数学模型;4)丰富出行数据来源,保证数据的准确性和可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Human mobility and COVID-19 transmission: a systematic review and future directions
ABSTRACT Without a widely distributed vaccine, controlling human mobility has been identified and promoted as the primary strategy to mitigate the transmission of COVID-19. Many studies have reported the relationship between human mobility and COVID-19 transmission by utilizing the spatial-temporal information of mobility data from various sources. To better understand the role of human mobility in the pandemic, we conducted a systematic review of articles that measure the relationship between human mobility and COVID-19 in terms of their data sources, mathematical models, and key findings. Following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, we selected 47 articles from the Web of Science Core Collection up to September 2020. Restricting human mobility reduced the transmission of COVID-19, although the effectiveness and stringency of policy implementation vary temporally and spatially across different stages of the pandemic. We call for prompt and sustainable measures to control the pandemic. We also recommend researchers 1) to enhance multi-disciplinary collaboration; 2) to adjust the implementation and stringency of mobility-control policies in corresponding to the rapid change of the pandemic; 3) to improve mathematical models used in analysing, simulating, and predicting the transmission of the disease; and 4) to enrich the source of mobility data to ensure data accuracy and suability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
期刊最新文献
Zero watermarking algorithm for BIM data based on distance partitioning and local feature Controlling for spatial confounding and spatial interference in causal inference: modelling insights from a computational experiment Application of GIS and fuzzy sets to small-scale site suitability assessment for extensive brackish water aquaculture Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data The time- and distance-decay effects of hurricane relevancy on social media: an empirical study of three hurricanes in the United States
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1