Literature DB >> 2384722

Models for the spread of universally fatal diseases.

F Brauer1.   

Abstract

In the formulation of models of S-I-R type for the spread of communicable diseases it is necessary to distinguish between diseases with recovery with full immunity and diseases with permanent removal by death. We consider models which include nonlinear population dynamics with permanent removal. The principal result is that the stability of endemic equilibrium may depend on the population dynamics and on the distribution of infective periods; sustained oscillations are possible in some cases.

Mesh:

Year:  1990        PMID: 2384722     DOI: 10.1007/bf00178328

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


  4 in total

1.  On the role of long incubation periods in the dynamics of acquired immunodeficiency syndrome (AIDS). Part 1: Single population models.

Authors:  C Castillo-Chavez; K Cooke; W Huang; S A Levin
Journal:  J Math Biol       Date:  1989       Impact factor: 2.259

2.  Population dynamics of fox rabies in Europe.

Authors:  R M Anderson; H C Jackson; R M May; A M Smith
Journal:  Nature       Date:  1981-02-26       Impact factor: 49.962

3.  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

4.  Integral equation models for endemic infectious diseases.

Authors:  H W Hethcote; D W Tudor
Journal:  J Math Biol       Date:  1980-03       Impact factor: 2.259

  4 in total
  12 in total

1.  Competitive exclusion and coexistence for pathogens in an epidemic model with variable population size.

Authors:  Azmy S Ackleh; Linda J S Allen
Journal:  J Math Biol       Date:  2003-05-15       Impact factor: 2.259

2.  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

3.  Disease transmission models with density-dependent demographics.

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

4.  Imitation dynamics predict vaccinating behaviour.

Authors:  Chris T Bauch
Journal:  Proc Biol Sci       Date:  2005-08-22       Impact factor: 5.349

5.  Population models for diseases with no recovery.

Authors:  A Pugliese
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

6.  An immuno-epidemiological model with threshold delay: a study of the effects of multiple exposures to a pathogen.

Authors:  Redouane Qesmi; Jane M Heffernan; Jianhong Wu
Journal:  J Math Biol       Date:  2014-02-28       Impact factor: 2.259

7.  An SIS epidemic model with variable population size and a delay.

Authors:  H W Hethcote; P van den Driessche
Journal:  J Math Biol       Date:  1995       Impact factor: 2.259

8.  Population size dependent incidence in models for diseases without immunity.

Authors:  J Zhou; H W Hethcote
Journal:  J Math Biol       Date:  1994       Impact factor: 2.259

9.  Mathematical Modeling of Viral Zoonoses in Wildlife.

Authors:  L J S Allen; V L Brown; C B Jonsson; S L Klein; S M Laverty; K Magwedere; J C Owen; P van den Driessche
Journal:  Nat Resour Model       Date:  2011-12-30       Impact factor: 1.182

10.  Mathematical epidemiology is not an oxymoron.

Authors:  Fred Brauer
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

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