Literature DB >> 2382131

Chaos versus noisy periodicity: alternative hypotheses for childhood epidemics.

L F Olsen1, W M Schaffer.   

Abstract

Whereas case rates for some childhood diseases (chickenpox) often vary according to an almost regular annual cycle, the incidence of more efficiently transmitted infections such as measles is more variable. Three hypotheses have been proposed to account for such fluctuations. (i) Irregular dynamics result from random shocks to systems with stable equilibria. (ii) The intrinsic dynamics correspond to biennial cycles that are subject to stochastic forcing. (iii) Aperiodic fluctuations are intrinsic to the epidemiology. Comparison of real world data and epidemiological models suggests that measles epidemics are inherently chaotic. Conversely, the extent to which chickenpox outbreaks approximate a yearly cycle depends inversely on the population size.

Mesh:

Year:  1990        PMID: 2382131     DOI: 10.1126/science.2382131

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  47 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.  Transients and attractors in epidemics.

Authors:  Chris T Bauch; David J D Earn
Journal:  Proc Biol Sci       Date:  2003-08-07       Impact factor: 5.349

4.  A demographic model of measles epidemics.

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

5.  Prediction of invasion from the early stage of an epidemic.

Authors:  Francisco J Pérez-Reche; Franco M Neri; Sergei N Taraskin; Christopher A Gilligan
Journal:  J R Soc Interface       Date:  2012-04-18       Impact factor: 4.118

6.  The sociobiologic integrative model (SBIM): enhancing the integration of sociobehavioral, environmental, and biomolecular knowledge in urban health and disparities research.

Authors:  M Chris Gibbons; Malcolm Brock; Anthony J Alberg; Thomas Glass; Thomas A LaVeist; Stephen Baylin; David Levine; C Earl Fox
Journal:  J Urban Health       Date:  2007-03       Impact factor: 3.671

7.  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

8.  Seasonal dynamics and thresholds governing recurrent epidemics.

Authors:  Ronen Olinky; Amit Huppert; Lewi Stone
Journal:  J Math Biol       Date:  2007-11-08       Impact factor: 2.259

9.  Patterns of spread of influenza A in Canada.

Authors:  Daihai He; Jonathan Dushoff; Raluca Eftimie; David J D Earn
Journal:  Proc Biol Sci       Date:  2013-09-11       Impact factor: 5.349

10.  Resonance of the epidemic threshold in a periodic environment.

Authors:  Nicolas Bacaër; Xamxinur Abdurahman
Journal:  J Math Biol       Date:  2008-05-07       Impact factor: 2.259

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