Human mobility data in the COVID-19 pandemic:characteristics,applications,and challenges

作     者：Tao Hu Siqin Wang Bing She Mengxi Zhang Xiao Huang Yunhe Cui Jacob Khuri Yaxin Hu Xiaokang Fu Xiaoyue Wang Peixiao Wang Xinyan Zhu Shuming Bao Wendy Guan Zhenlong Li 

作者机构：Department of GeographyOklahoma State UniversityStillwaterOKUSA Center for Geographic AnalysisHarvard UniversityCambridgeMAUSA School of Earth and Environmental SciencesThe University of QueenslandSt LuciaAustralia Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA School of HealthBall State UniversityMuncieINUSA Department of GeosciencesUniversity of ArkansasFayettevilleARUSA Department of GeographyUniversity of ConnecticutStorrsCTUSA Lake Erie College of Osteopathic MedicineSeton Hill UniversityGreensburgPAUSA School of Resource and Environmental SciencesWuhan UniversityWuhanPeople’s Republic of China State Key Laboratory of Information Engineering in SurveyingMapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China China Data InstituteAnn ArborMIUSA Geoinformation and Big Data Research LaboratoryDepartment of GeographyUniversity of South CarolinaColumbiaSCUSA 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2021年第14卷第9期

页      面：1126-1147页

核心收录：

学科分类：1002[医学-临床医学] 0708[理学-地球物理学] 100214[医学-肿瘤学] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 10[医学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the NSF[National Science Foundation]under grant 1841403 2027540 and 2028791. 

主　　题：COVID-19 public health human mobility open data mobile phone mobility index 

摘      要：The COVID-19 pandemic poses unprecedented challenges around the world.Many studies have applied mobility data to explore spatiotemporal trends over time,investigate associations with other variables,and predict or simulate the spread of COVID-19.Our objective was to provide a comprehensive overview of human mobility open data to guide researchers and policymakers in conducting data-driven evaluations and decision-making for the COVID-19 pandemic and other infectious disease outbreaks.We summarized the mobility data usage in COVID-19 studies by reviewing recent publications on COVID-19 and human mobility from a data-oriented perspective.We identified three major sources of mobility data:public transit systems,mobile operators,and mobile phone applications.Four approaches have been commonly used to estimate human mobility:public transit-based flow,social activity patterns,index-based mobility data,and social media-derived mobility data.We compared mobility datasets’characteristics by assessing data privacy,quality,space–time coverage,high-performance data storage and processing,and accessibility.We also present challenges and future directions of using mobility data.This review makes a pivotal contribution to understanding the use of and access to human mobility data in the COVID-19 pandemic and future disease outbreaks.