Literature DB >> 19518271

Fluctuations and oscillations in a simple epidemic model.

G Rozhnova1, A Nunes.   

Abstract

We show that the simplest stochastic epidemiological models with spatial correlations exhibit two types of oscillatory behavior in the endemic phase. In a large parameter range, the oscillations are due to resonant amplification of stochastic fluctuations, a general mechanism first reported for predator-prey dynamics. In a narrow range of parameters that includes many infectious diseases which confer long lasting immunity the oscillations persist for infinite populations. This effect is apparent in simulations of the stochastic process in systems of variable size and can be understood from the phase diagram of the deterministic pair approximation equations. The two mechanisms combined play a central role in explaining the ubiquity of oscillatory behavior in real data and in simulation results of epidemic and other related models.

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Year:  2009        PMID: 19518271     DOI: 10.1103/PhysRevE.79.041922

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


  5 in total

1.  Modelling the long-term dynamics of pre-vaccination pertussis.

Authors:  Ganna Rozhnova; Ana Nunes
Journal:  J R Soc Interface       Date:  2012-06-20       Impact factor: 4.118

2.  How can contemporary climate research help understand epidemic dynamics? Ensemble approach and snapshot attractors.

Authors:  T Kovács
Journal:  J R Soc Interface       Date:  2020-12-09       Impact factor: 4.118

3.  Positively interacting strains that co-circulate within a network structured population induce cycling epidemics of Mycoplasma pneumoniae.

Authors:  Xu-Sheng Zhang; Hongxin Zhao; Emilia Vynnycky; Vicki Chalker
Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

4.  Epidemic cycling in a multi-strain SIRS epidemic network model.

Authors:  Xu-Sheng Zhang
Journal:  Theor Biol Med Model       Date:  2016-04-18       Impact factor: 2.432

5.  The effects of heterogeneity on stochastic cycles in epidemics.

Authors:  Francisco Herrerías-Azcué; Tobias Galla
Journal:  Sci Rep       Date:  2017-10-11       Impact factor: 4.379

  5 in total

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