English

Vaccination intervention on epidemic dynamics in networks

Physics and Society 2015-06-15 v1 Statistical Mechanics Social and Information Networks

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, Barab\'asi-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.

Keywords

Cite

@article{arxiv.1302.5979,
  title  = {Vaccination intervention on epidemic dynamics in networks},
  author = {Xiao-Long Peng and Xin-Jian Xu and Xinchu Fu and Tao Zhou},
  journal= {arXiv preprint arXiv:1302.5979},
  year   = {2015}
}

Comments

11 pages, 8 figures, RevTex4

R2 v1 2026-06-21T23:31:52.287Z