Literature DB >> 3058830

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

D Greenhalgh1.   

Abstract

This paper examines threshold and stability results for simple mathematical models for the transmission of infectious diseases with permanent natural immunity. Examples of such diseases are measles, chicken-pox, hepatitis, and mumps. An important feature of this work is the introduction of an age structure into the population amongst whom the disease is spreading and, in particular, the realization of the fact that the contact rate itself may depend on age. Equilibrium and stability analyses are performed on these models. These results are in part directed towards establishing conditions sufficient for the existence of a nonzero equilibrium disease level to be possible. Conjectures about the existence of a nonzero solution to a set of partial integrodifferential equations are examined. These conditions determine the circumstances under which the disease will persist. Particular emphasis is devoted to the case where the meeting rate depends on age.

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Year:  1988        PMID: 3058830     DOI: 10.1093/imammb/5.2.81

Source DB:  PubMed          Journal:  IMA J Math Appl Med Biol        ISSN: 0265-0746


  5 in total

1.  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

2.  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

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

Authors:  H Inaba
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

4.  Seasonal transmission dynamics of measles in China.

Authors:  Jicai Huang; Shigui Ruan; Xiao Wu; Xuelei Zhou
Journal:  Theory Biosci       Date:  2018-09-27       Impact factor: 1.919

5.  Memory effects on epidemic evolution: The susceptible-infected-recovered epidemic model.

Authors:  M Saeedian; M Khalighi; N Azimi-Tafreshi; G R Jafari; M Ausloos
Journal:  Phys Rev E       Date:  2017-02-21       Impact factor: 2.529

  5 in total

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