Literature DB >> 15524594

Pair approximation of the stochastic susceptible-infected-recovered-susceptible epidemic model on the hypercubic lattice.

Jaewook Joo1, Joel L Lebowitz.   

Abstract

We investigate the time evolution and steady states of the stochastic susceptible-infected-recovered-susceptible (SIRS) epidemic model on one- and two-dimensional lattices. We compare the behavior of this system, obtained from computer simulations, with those obtained from the mean-field approximation (MFA) and pair approximation (PA). The former (latter) approximates higher-order moments in terms of first- (second-) order ones. We find that the PA gives consistently better results than the MFA. In one dimension, the improvement is even qualitative.

Year:  2004        PMID: 15524594     DOI: 10.1103/PhysRevE.70.036114

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

Review 1.  A rigorous approach to investigating common assumptions about disease transmission: Process algebra as an emerging modelling methodology for epidemiology.

Authors:  Chris McCaig; Mike Begon; Rachel Norman; Carron Shankland
Journal:  Theory Biosci       Date:  2010-08-31       Impact factor: 1.919

2.  Predicting the evolution of spreading on complex networks.

Authors:  Duan-Bing Chen; Rui Xiao; An Zeng
Journal:  Sci Rep       Date:  2014-08-18       Impact factor: 4.379

Review 3.  Mathematical modeling of infectious disease dynamics.

Authors:  Constantinos I Siettos; Lucia Russo
Journal:  Virulence       Date:  2013-04-03       Impact factor: 5.882

4.  Coupling dynamics of epidemic spreading and information diffusion on complex networks.

Authors:  Xiu-Xiu Zhan; Chuang Liu; Ge Zhou; Zi-Ke Zhang; Gui-Quan Sun; Jonathan J H Zhu; Zhen Jin
Journal:  Appl Math Comput       Date:  2018-04-10       Impact factor: 4.091

  4 in total

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