Modeling epidemic spread in transportation networks:A review
Modeling epidemic spread in transportation networks:A review作者机构:Key Laboratory of Road and Traffic Engineering of Ministry of EducationTongji UniversityShanghai 201804China College of Transportation EngineeringTongji UniversityShanghai 201804China Institute for Urban Risk ManagementTongji UniversityShanghai 201804China
出 版 物:《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报(英文版))
年 卷 期:2021年第8卷第2期
页 面:139-152页
核心收录:
学科分类:1004[医学-公共卫生与预防医学(可授医学、理学学位)] 08[工学] 0837[工学-安全科学与工程] 100401[医学-流行病与卫生统计学] 10[医学]
基 金:supported by the National Key R&D Program of China under Grant No.2018YFB1601100 National Natural Science Foundation of China under Grant No.71601145
主 题:Traffic engineering Infectious disease control Epidemic spread models Human mobility Transportation networks
摘 要:The emergence of novel infectious diseases has become a serious global *** transportation networks lead to rapid mobilization in the context of globalization,which is an important factor underlying the rapid spread of infectious *** systems can cause the transmission of viruses during the epidemic period,but they also support the reopening of economies after the *** the mechanism of the impact of mobility on the spread of infectious diseases is thus important,as is establishing the risk model of the spread of infectious diseases in transportation *** this study,the basic structure and application of various epidemic spread models are reviewed,including mathematical models,statistical models,network-based models,and simulation *** advantages and limitations of model applications within transportation systems are analyzed,including dynamic characteristics of epidemic transmission and decision supports for management and ***,research trends and prospects are *** is suggested that there is a need for more in-depth research to examine the mutual feedback mechanism of epidemics and individual behavior,as well as the proposal and evaluation of intervention *** findings in this study can help evaluate disease intervention strategies,provide decision supports for transport policy during the epidemic period,and ameliorate the deficiencies of the existing system.