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Modeling of contact tracing in social networks

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  • Tsimring, Lev S
  • Huerta, Ramón

Abstract

Spreading of certain infections in complex networks is effectively suppressed by using intelligent strategies for epidemic control. One such standard epidemiological strategy consists in tracing contacts of infected individuals. In this paper, we use a recently introduced generalization of the standard susceptible-infectious-removed stochastic model for epidemics in sparse random networks which incorporates an additional (traced) state. We describe a deterministic mean-field description which yields quantitative agreement with stochastic simulations on random graphs. We also discuss the role of contact tracing in epidemics control in small-world and scale-free networks. Effectiveness of contact tracing grows as the rewiring probability is reduced.

Suggested Citation

  • Tsimring, Lev S & Huerta, Ramón, 2003. "Modeling of contact tracing in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(1), pages 33-39.
    • Handle: RePEc:eee:phsmap:v:325:y:2003:i:1:p:33-39
    DOI: 10.1016/S0378-4371(03)00180-8
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    Citations

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    Cited by:

    1. Eames, K.T.D., 2008. "Modelling disease spread through random and regular contacts in clustered populations," Theoretical Population Biology, Elsevier, vol. 73(1), pages 104-111.
    2. Wu, Qingchu & Fu, Xinchu & Jin, Zhen & Small, Michael, 2015. "Influence of dynamic immunization on epidemic spreading in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 566-574.
    3. Chung-Yuan Huang & Chuen-Tsai Sun & Hsun-Cheng Lin, 2005. "Influence of Local Information on Social Simulations in Small-World Network Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-8.
    4. Wu, Qingchu & Liu, Huaxiang & Small, Michael, 2013. "Dynamical diversity induced by individual responsive immunization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(12), pages 2792-2802.
    5. Small, Michael & Tse, C.K., 2005. "Clustering model for transmission of the SARS virus: application to epidemic control and risk assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 499-511.

    More about this item

    Keywords

    Epidemics; SIR model; Networks;
    All these keywords.

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