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Effective vaccination strategies for realistic social networks

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  • Miller, Joel C.
  • Hyman, James M.

Abstract

We consider the effectiveness of targeted vaccination at preventing the spread of infectious disease in a realistic social network. We compare vaccination strategies based on no information (random vaccination) to complete information (PageRank) about the network. The most effective strategy we find is to vaccinate those people with the most unvaccinated contacts. However, this strategy requires considerable information and computational effort which may not be practical. The next best strategies vaccinate people with many contacts who in turn have few contacts.

Suggested Citation

  • Miller, Joel C. & Hyman, James M., 2007. "Effective vaccination strategies for realistic social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(2), pages 780-785.
    • Handle: RePEc:eee:phsmap:v:386:y:2007:i:2:p:780-785
    DOI: 10.1016/j.physa.2007.08.054
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    References listed on IDEAS

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    1. Neil M. Ferguson & Derek A.T. Cummings & Simon Cauchemez & Christophe Fraser & Steven Riley & Aronrag Meeyai & Sopon Iamsirithaworn & Donald S. Burke, 2005. "Strategies for containing an emerging influenza pandemic in Southeast Asia," Nature, Nature, vol. 437(7056), pages 209-214, September.
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    Cited by:

    1. Shams, Bita & Khansari, Mohammad, 2015. "On the impact of epidemic severity on network immunization algorithms," Theoretical Population Biology, Elsevier, vol. 106(C), pages 83-93.
    2. Dong, Chao & Yin, Qiuju & Liu, Wenyang & Yan, Zhijun & Shi, Tianyu, 2015. "Can rewiring strategy control the epidemic spreading?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 169-177.
    3. Han, Dun & Wang, Xiao, 2023. "Vaccination strategies and virulent mutation spread: A game theory study," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    4. Neilson, William & Xiao, Yancheng, 2018. "Equilibrium vaccination patterns in incomplete and heterogeneous networks," European Economic Review, Elsevier, vol. 105(C), pages 174-192.
    5. Doina Bucur & Petter Holme, 2020. "Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-20, July.

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