Literature DB >> 1685243

Chaotic stochasticity: a ubiquitous source of unpredictability in epidemics.

D A Rand1, H B Wilson.   

Abstract

We address the question of whether or not childhood epidemics such as measles and chickenpox are chaotic, and argue that the best explanation of the observed unpredictability is that it is a manifestation of what we call chaotic stochasticity. Such chaos is driven and made permanent by the fluctuations from the mean field encountered in epidemics, or by extrinsic stochastic noise, and is dependent upon the existence of chaotic repellors in the mean field dynamics. Its existence is also a consequence of the near extinctions in the epidemic. For such systems, chaotic stochasticity is likely to be far more ubiquitous than the presence of deterministic chaotic attractors. It is likely to be a common phenomenon in biological dynamics.

Mesh:

Year:  1991        PMID: 1685243     DOI: 10.1098/rspb.1991.0142

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  38 in total

1.  Stochastic dynamics and a power law for measles variability.

Authors:  M Keeling; B Grenfell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-04-29       Impact factor: 6.237

2.  Understanding the persistence of measles: reconciling theory, simulation and observation.

Authors:  Matt J Keeling; Bryan T Grenfell
Journal:  Proc Biol Sci       Date:  2002-02-22       Impact factor: 5.349

3.  A demographic model of measles epidemics.

Authors:  S R Duncan; S Scott; C J Duncan
Journal:  Eur J Popul       Date:  1999-06

4.  Enhanced vaccine control of epidemics in adaptive networks.

Authors:  Leah B Shaw; Ira B Schwartz
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-04-29

5.  Chaotic Red Queen coevolution in three-species food chains.

Authors:  Fabio Dercole; Regis Ferriere; Sergio Rinaldi
Journal:  Proc Biol Sci       Date:  2010-03-31       Impact factor: 5.349

6.  Stochasticity in staged models of epidemics: quantifying the dynamics of whooping cough.

Authors:  Andrew J Black; Alan J McKane
Journal:  J R Soc Interface       Date:  2010-02-17       Impact factor: 4.118

7.  Strong seasonality produces spatial asynchrony in the outbreak of infectious diseases.

Authors:  Scott M Duke-Sylvester; Luca Bolzoni; Leslie A Real
Journal:  J R Soc Interface       Date:  2010-10-20       Impact factor: 4.118

Review 8.  Networks and epidemic models.

Authors:  Matt J Keeling; Ken T D Eames
Journal:  J R Soc Interface       Date:  2005-09-22       Impact factor: 4.118

9.  Stochastic amplification in epidemics.

Authors:  David Alonso; Alan J McKane; Mercedes Pascual
Journal:  J R Soc Interface       Date:  2007-06-22       Impact factor: 4.118

10.  Noise, nonlinearity and seasonality: the epidemics of whooping cough revisited.

Authors:  Hanh T H Nguyen; Pejman Rohani
Journal:  J R Soc Interface       Date:  2008-04-06       Impact factor: 4.118

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