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An epidemic model based on individuals with movement characteristics

Author

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  • Pan, Qiuhui
  • Liu, Rui
  • He, Mingfeng

Abstract

In this paper an SIS model on a mesh-free 2D plane is developed in order to find the relationship between epidemic spreading, translational speed and infectious radius. The results showed that susceptible and infective individuals ultimately continue to coexist. As time goes on the population size of infected individuals will eventually reach a dynamic equilibrium. Moreover, the equilibrium value shows a continuous phase transition with the increase of the infectious radius. Additionally, when the infectious radius is too small to induce the phase transition the mobility would have a negative effect on the epidemic spreading, while when the infectious radius is close to the radius causing phase transition the mobility would have a positive effect on the epidemic spreading, and when the infectious radius is larger the mobility would have no effect on it.

Suggested Citation

  • Pan, Qiuhui & Liu, Rui & He, Mingfeng, 2014. "An epidemic model based on individuals with movement characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 157-162.
  • Handle: RePEc:eee:phsmap:v:399:y:2014:i:c:p:157-162
    DOI: 10.1016/j.physa.2013.12.043
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    References listed on IDEAS

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    1. H. N. Agiza & A. S. Elgazzar & S. A. Youssef, 2003. "Phase Transitions In Some Epidemic Models Defined On Small-World Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 825-833.
    2. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
    3. Ahmed, E. & Agiza, H.N., 1998. "On modeling epidemics Including latency, incubation and variable susceptibility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 253(1), pages 347-352.
    4. Benyoussef, A & HafidAllah, N.El & ElKenz, A & Ez-Zahraouy, H & Loulidi, M, 2003. "Dynamics of HIV infection on 2D cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 322(C), pages 506-520.
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