Epidemic Thresholds with External Agents

被引:0
|
作者
Banerjee, Siddhartha [1 ]
Chatterjee, Avhishek [1 ]
Shakkottai, Sanjay [1 ]
机构
[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
来源
2014 PROCEEDINGS IEEE INFOCOM | 2014年
关键词
VIRUS SPREAD; NETWORK; MOBILITY;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We study the effect of external infection sources on phase transitions in epidemic processes. In particular, we consider an epidemic spreading on a network via the SIS/SIR dynamics, which in addition is aided by external agents - sources unconstrained by the graph, but possessing a limited infection rate or virulence. Such a model captures many existing models of externally aided epidemics, and finds use in many settings - epidemiology, marketing and advertising, network robustness, etc. We provide a detailed characterization of the impact of external agents on epidemic thresholds. In particular, for the SIS model, we show that any external infection strategy with constant virulence either fails to significantly affect the lifetime of an epidemic, or at best, sustains the epidemic for a lifetime which is polynomial in the number of nodes. On the other hand, a random external-infection strategy, with rate increasing linearly in the number of infected nodes, succeeds under some conditions to sustain an exponential epidemic lifetime. We obtain similar sharp thresholds for the SIR model, and discuss the relevance of our results in a variety of settings.
引用
收藏
页码:2202 / 2210
页数:9
相关论文
共 50 条
  • [41] Regulating epidemic space: the nomos of global circulation
    Sven Opitz
    Journal of International Relations and Development, 2016, 19 : 263 - 284
  • [42] The COVID-19 Epidemic Spreading Effects
    Hu, Chich-Ping
    SUSTAINABILITY, 2022, 14 (15)
  • [43] RESPONDENT-DRIVEN SAMPLING AND AN UNUSUAL EPIDEMIC
    Malmros, J.
    Liljeros, F.
    Britton, T.
    JOURNAL OF APPLIED PROBABILITY, 2016, 53 (02) : 518 - 530
  • [44] EPIDEMIC SPREADING Don't close the gates
    Scarpino, Samuel V.
    NATURE PHYSICS, 2018, 14 (04) : 331 - 333
  • [45] Epidemic Forest: A Spatiotemporal Model for Communicable Diseases
    Li, Meifang
    Shi, Xun
    Li, Xia
    Ma, Wenjun
    He, Jianfeng
    Liu, Tao
    ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 2019, 109 (03) : 812 - 836
  • [46] On the dynamics of deterministic epidemic propagation over networks
    Mei, Wenjun
    Mohagheghi, Shadi
    Zampieri, Sandro
    Bullo, Francesco
    ANNUAL REVIEWS IN CONTROL, 2017, 44 : 116 - 128
  • [47] Mitigating an Epidemic on a Geographic Network Using Vaccination
    Badaoui, Mohamad
    Caputo, Jean-Guy
    Cruz-Pacheco, Gustavo
    Knippel, Arnaud
    AXIOMS, 2024, 13 (11)
  • [48] Optimal intervention strategies for an epidemic: A household view
    Yarmand, Hamed
    Ivy, Julie S.
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2013, 89 (12): : 1505 - 1522
  • [49] Spatial spread of the West Africa Ebola epidemic
    Kramer, Andrew M.
    Pulliam, J. Tomlin
    Alexander, Laura W.
    Park, Andrew W.
    Rohani, Pejman
    Drake, John M.
    ROYAL SOCIETY OPEN SCIENCE, 2016, 3 (08):
  • [50] Global stability in a networked SIR epidemic model
    Tian, Canrong
    Zhang, Qunying
    Zhang, Lai
    APPLIED MATHEMATICS LETTERS, 2020, 107