Literature DB >> 2384720

Threshold and stability results for an age-structured epidemic model.

H Inaba1.   

Abstract

We study a mathematical model for an epidemic spreading in an age-structured population with age-dependent transmission coefficient. We formulate the model as an abstract Cauchy problem on a Banach space and show the existence and uniqueness of solutions. Next we derive some conditions which guarantee the existence and uniqueness for non-trivial steady states of the model. Finally the local and global stability for the steady states are examined.

Mesh:

Year:  1990        PMID: 2384720     DOI: 10.1007/bf00178326

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


  7 in total

Review 1.  Threshold and stability results for an epidemic model with an age-structured meeting rate.

Authors:  D Greenhalgh
Journal:  IMA J Math Appl Med Biol       Date:  1988

2.  Epidemiological models with age structure, proportionate mixing, and cross-immunity.

Authors:  C Castillo-Chavez; H W Hethcote; V Andreasen; S A Levin; W M Liu
Journal:  J Math Biol       Date:  1989       Impact factor: 2.259

3.  Analytical results on the stability of age-structured recurrent epidemic models.

Authors:  D Greenhalgh
Journal:  IMA J Math Appl Med Biol       Date:  1987

4.  Analytical threshold and stability results on age-structured epidemic models with vaccination.

Authors:  D Greenhalgh
Journal:  Theor Popul Biol       Date:  1988-06       Impact factor: 1.570

5.  Proportionate mixing models for age-dependent infection transmission.

Authors:  K Dietz; D Schenzle
Journal:  J Math Biol       Date:  1985       Impact factor: 2.259

6.  An age-structured model of pre- and post-vaccination measles transmission.

Authors:  D Schenzle
Journal:  IMA J Math Appl Med Biol       Date:  1984

7.  Age-related changes in the rate of disease transmission: implications for the design of vaccination programmes.

Authors:  R M Anderson; R M May
Journal:  J Hyg (Lond)       Date:  1985-06
  7 in total
  13 in total

1.  Age-structured homogeneous epidemic systems with application to the MSEIR epidemic model.

Authors:  Hisashi Inaba
Journal:  J Math Biol       Date:  2006-10-21       Impact factor: 2.259

2.  Age-structured effects and disease interference in childhood infections.

Authors:  Yunxin Huang; Pejman Rohani
Journal:  Proc Biol Sci       Date:  2006-05-22       Impact factor: 5.349

3.  Threshold behaviour of a SIR epidemic model with age structure and immigration.

Authors:  Andrea Franceschetti; Andrea Pugliese
Journal:  J Math Biol       Date:  2007-11-06       Impact factor: 2.259

Review 4.  Hyperbolic and kinetic models for self-organized biological aggregations and movement: a brief review.

Authors:  Raluca Eftimie
Journal:  J Math Biol       Date:  2011-07-01       Impact factor: 2.259

5.  EPIDEMIOLOGICAL CONSEQUENCES OF IMPERFECT VACCINES FOR IMMUNIZING INFECTIONS.

Authors:  F M G Magpantay; M A Riolo; M Domenech DE Cellès; A A King; P Rohani
Journal:  SIAM J Appl Math       Date:  2014       Impact factor: 2.080

6.  State estimators for some epidemiological systems.

Authors:  A Iggidr; M O Souza
Journal:  J Math Biol       Date:  2018-07-21       Impact factor: 2.259

7.  On a new perspective of the basic reproduction number in heterogeneous environments.

Authors:  Hisashi Inaba
Journal:  J Math Biol       Date:  2011-08-14       Impact factor: 2.164

8.  Application of the backstepping method to the prediction of increase or decrease of infected population.

Authors:  Toshikazu Kuniya; Hideki Sano
Journal:  Theor Biol Med Model       Date:  2016-05-10       Impact factor: 2.432

9.  Vertical transmission and reproduction rate: modeling a common strategy for two related diseases.

Authors:  Abba Mahamane Oumarou; Yannick Tchaptchie Kouakep
Journal:  Springerplus       Date:  2016-04-14

10.  Mathematical analysis on an age-structured SIS epidemic model with nonlocal diffusion.

Authors:  Hao Kang; Shigui Ruan
Journal:  J Math Biol       Date:  2021-06-26       Impact factor: 2.259

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