期刊文献+

Modeling epidemic spread in transportation networks:A review

原文传递
导出
摘要 The emergence of novel infectious diseases has become a serious global problem.Convenient transportation networks lead to rapid mobilization in the context of globalization,which is an important factor underlying the rapid spread of infectious diseases.Transportation systems can cause the transmission of viruses during the epidemic period,but they also support the reopening of economies after the epidemic.Understanding 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 networks.In this study,the basic structure and application of various epidemic spread models are reviewed,including mathematical models,statistical models,network-based models,and simulation models.The advantages and limitations of model applications within transportation systems are analyzed,including dynamic characteristics of epidemic transmission and decision supports for management and control.Lastly,research trends and prospects are discussed.It 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 measures.The 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.
出处 《Journal of Traffic and Transportation Engineering(English Edition)》 CSCD 2021年第2期139-152,共14页 交通运输工程学报(英文版)
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。
  • 相关文献

参考文献4

二级参考文献44

  • 1Bartlet M S. Deterministic and stochastic models for recurrent epidemics//Proc 3ro Berkeley Symp Math Stat and Prob. Berkeley: University of California Press, 1956, 4 : 81-109.
  • 2Arino J. Diseases in metapopulations//Ma Z, Zhou Y, Wu J. Modeling and Dynamics of Infectious Diseases. Beijing: Higher Education Press, 2009:65-123.
  • 3Wang W, Zhao X. An epidemic model in a patchy environment. Math Biosci, 2004, 190:97-112.
  • 4Guo H, Li M Y, Shuai Z. Global stability of the endemic equilibrium of multigroup SIR epidemic models. Canadian Appl Math Quart, 2006, 14:259- 284.
  • 5Chen H, Sun J. Global stability of delay multigroup epidemic models with group mixing nonlinear incidence rates. Appl Math Comput, 2011, 218:4391- 4400.
  • 6Guo H, Li M Y, Shuai Z. A graph-theoretic approach to the method of global Lyapunov functions. Proc Amer Math Soc, 2008, 136:2793 -2802.
  • 7Li M Y, Shuai Z. Global-stability problem for coupled systems of differential equations on networks. J Diff Equat, 2010, 248:1- 20.
  • 8Li M Y, Shuai Z, Wang C. Global stability of multi-group epidemic models with distributed delays. J Math Anal Appl, 2010, 361:38-47.
  • 9Shu H, Fan D, Wei J. Global stability of multi-group SEIR epidemic models with distributed delays and nonlinear transmission. Nonlinear Analysis RWA, 2012, 13:1581-1592.
  • 10Sun R. Global stability of the endemic equilibrium of multigroup SIR models with nonlinear incidence. Comput Math Appl, 2010, 60:2286-2291.

共引文献31

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部