Mengxi Zhang, Siqin Wang, T. Hu, Xiaokang Fu, Xiaoyue Wang, Yaxin Hu, B. Halloran, Zhenlong Li, Yunhe Cui, Haokun Liu, Zhimin Liu, S. Bao
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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。
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.