Literature DB >> 3668394

Dynamical behavior of epidemiological models with nonlinear incidence rates.

W M Liu1, H W Hethcote, S A Levin.   

Abstract

Epidemiological models with nonlinear incidence rates lambda IpSq show a much wider range of dynamical behaviors than do those with bilinear incidence rates lambda IS. These behaviors are determined mainly by p and lambda, and secondarily by q. For such models, there may exist multiple attractive basins in phase space; thus whether or not the disease will eventually die out may depend not only upon the parameters, but also upon the initial conditions. In some cases, periodic solutions may appear by Hopf bifurcation at critical parameter values.

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Year:  1987        PMID: 3668394     DOI: 10.1007/bf00277162

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  5 in total

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Authors:  J Cunningham
Journal:  Z Naturforsch C Biosci       Date:  1979-08

2.  The Law of Mass Action in Epidemiology: II.

Authors:  E B Wilson; J Worcester
Journal:  Proc Natl Acad Sci U S A       Date:  1945-04       Impact factor: 11.205

3.  The Law of Mass Action in Epidemiology.

Authors:  E B Wilson; J Worcester
Journal:  Proc Natl Acad Sci U S A       Date:  1945-01       Impact factor: 11.205

4.  Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models.

Authors:  W M Liu; S A Levin; Y Iwasa
Journal:  J Math Biol       Date:  1986       Impact factor: 2.259

5.  Stability analysis for models of diseases without immunity.

Authors:  H W Hethcote; H W Stech; P van den Driessche
Journal:  J Math Biol       Date:  1981       Impact factor: 2.259

  5 in total
  78 in total

1.  Dynamic models of infectious diseases as regulators of population sizes.

Authors:  J Mena-Lorca; H W Hethcote
Journal:  J Math Biol       Date:  1992       Impact factor: 2.259

2.  Disease transmission models with density-dependent demographics.

Authors:  L Q Gao; H W Hethcote
Journal:  J Math Biol       Date:  1992       Impact factor: 2.259

3.  Some epidemiological models with nonlinear incidence.

Authors:  H W Hethcote; P van den Driessche
Journal:  J Math Biol       Date:  1991       Impact factor: 2.259

4.  Global analysis on delay epidemiological dynamic models with nonlinear incidence.

Authors:  Gang Huang; Yasuhiro Takeuchi
Journal:  J Math Biol       Date:  2010-09-26       Impact factor: 2.259

Review 5.  Modelling the influence of human behaviour on the spread of infectious diseases: a review.

Authors:  Sebastian Funk; Marcel Salathé; Vincent A A Jansen
Journal:  J R Soc Interface       Date:  2010-05-26       Impact factor: 4.118

6.  Dynamical behaviour of epidemiological models with sub-optimal immunity and nonlinear incidence.

Authors:  M G M Gomes; A Margheri; G F Medley; C Rebelo
Journal:  J Math Biol       Date:  2005-06-06       Impact factor: 2.259

7.  Pathogen responses to host immunity: the impact of time delays and memory on the evolution of virulence.

Authors:  A Fenton; J Lello; M B Bonsall
Journal:  Proc Biol Sci       Date:  2006-08-22       Impact factor: 5.349

8.  A threshold result for an epidemiological model.

Authors:  X Lin; P van den Driessche
Journal:  J Math Biol       Date:  1992       Impact factor: 2.259

9.  When individual behaviour matters: homogeneous and network models in epidemiology.

Authors:  Shweta Bansal; Bryan T Grenfell; Lauren Ancel Meyers
Journal:  J R Soc Interface       Date:  2007-10-22       Impact factor: 4.118

10.  Building epidemiological models from R0: an implicit treatment of transmission in networks.

Authors:  Juan Pablo Aparicio; Mercedes Pascual
Journal:  Proc Biol Sci       Date:  2007-02-22       Impact factor: 5.349

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