Vaccination intervention on epidemic dynamics in networks

Xiao-Long Peng, Xin-Jian Xu, Xinchu Fu, and Tao Zhou
Phys. Rev. E 87, 022813 – Published 20 February 2013

Abstract

Vaccination is an important measure available for preventing or reducing the spread of infectious diseases. In this paper, an epidemic model including susceptible, infected, and imperfectly vaccinated compartments is studied on Watts-Strogatz small-world, Barabási-Albert scale-free, and random scale-free networks. The epidemic threshold and prevalence are analyzed. For small-world networks, the effective vaccination intervention is suggested and its influence on the threshold and prevalence is analyzed. For scale-free networks, the threshold is found to be strongly dependent both on the effective vaccination rate and on the connectivity distribution. Moreover, so long as vaccination is effective, it can linearly decrease the epidemic prevalence in small-world networks, whereas for scale-free networks it acts exponentially. These results can help in adopting pragmatic treatment upon diseases in structured populations.

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  • Received 2 August 2012

DOI:https://doi.org/10.1103/PhysRevE.87.022813

©2013 American Physical Society

Authors & Affiliations

Xiao-Long Peng1, Xin-Jian Xu1,2, Xinchu Fu1,2, and Tao Zhou3

  • 1Department of Mathematics, Shanghai University, Shanghai 200444, China
  • 2Institute of Systems Science, Shanghai University, Shanghai 200444, China
  • 3Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610051, China

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Issue

Vol. 87, Iss. 2 — February 2013

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