Urgent Epidemic Control Mechanism for Aviation Networks

  • Chengbin Peng
  • Shengbin Wang
  • Meixia Shi
  • Xiaogang Jin
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 124)


In the current century, the highly developed transportation system can not only boost the economy, but also greatly accelerate the spreading of epidemics. While some epidemic diseases may infect quite a number of people ahead of our awareness, the health care resources such as vaccines and the medical staff are usually locally or even globally insufficient. In this research, with the network of major aviation routes as an example, we present a method to determine the optimal locations to allocate the medical service in order to minimize the impact of the infectious disease with limited resources. Specifically, we demonstrate that when the medical resources are insufficient, we should concentrate our efforts on the travelers with the objective of effectively controlling the spreading rate of the epidemic diseases.


Epidemic Control Aviation Networks SIS Model 


  1. 1.
    Hethcote, H.W.: Hethcote: The mathematics of infectious diseases. SIAM Rev. 42(4), 599–653 (2000)CrossRefzbMATHMathSciNetGoogle Scholar
  2. 2.
    Lloyd, A.L., May, R.M.: Epidemiology: How Viruses Spread Among Computers and People. Science 292(5520), 1316–1317 (2001)CrossRefGoogle Scholar
  3. 3.
    Barthélemy, M., Barrat, A., Pastor-Satorras, R., Vespignani, A.: Dynamical patterns of epidemic outbreaks in complex heterogeneous networks. Journal of The oretical Biology 235(2), 275–288 (2005)CrossRefGoogle Scholar
  4. 4.
    Hufnagel, L., Brockmann, D., Geise, T.: Forecast and control of epidemics in a globalized world. Proceedings of the National Academy of Sciences of the United States of America 101(42), 15124 (2004)CrossRefGoogle Scholar
  5. 5.
    Guimera, R., Mossa, S., Turtschi, A., Amaral, L.A.N.: The worldwide air transportation network: Anomalous centrality, community structure, and cities’ global roles. Proceedings of the National Academy of Sciences of the United States of America 102(22), 7794 (2005)CrossRefzbMATHMathSciNetGoogle Scholar
  6. 6.
    World’s busiest passenger air routes,

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Chengbin Peng
    • 1
  • Shengbin Wang
    • 2
  • Meixia Shi
    • 3
  • Xiaogang Jin
    • 4
  1. 1.Mathematical and Computer Sciences and Engineering DivisionKing Abdullah University of Science and TechnologyThuwalKingdom of Saudi Arabia
  2. 2.Rutgers Business SchoolRutgers UniversityNewarkUSA
  3. 3.College of Environmental and Resource SciencesZhejiang UniversityHangzhouPR China
  4. 4.Institute of Artificial Intelligence, College of Computer ScienceZhejiang UniversityHangzhouPR China

Personalised recommendations