@article{779791,
      recid = {779791},
      author = {Liu, Xinzhi, and Stechlinski, Peter,},
      title = {Infectious disease modeling : a hybrid system approach /},
      pages = {1 online resource.},
      abstract = {This volume presents infectious diseases modeled  mathematically, taking seasonality and changes in  population behavior into account, using a switched and  hybrid systems framework. The scope of coverage includes  background on mathematical epidemiology, including  classical formulations and results; a motivation for  seasonal effects and changes in population behavior, an  investigation into term-time forced epidemic models with  switching parameters, and a detailed account of several  different control strategies. The main goal is to study  these models theoretically and to establish conditions  under which eradication or persistence of the disease is  guaranteed. In doing so, the long-term behavior of the  models is determined through mathematical techniques from  switched systems theory. Numerical simulations are also  given to augment and illustrate the theoretical results and  to help study the efficacy of the control schemes.},
      url = {http://library.usi.edu/record/779791},
      doi = {https://doi.org/10.1007/978-3-319-53208-0},
}