Literature DB >> 1806092

A discrete-time model with vaccination for a measles epidemic.

L J Allen1, M A Jones, C F Martin.   

Abstract

A discrete-time, age-independent SIR-type epidemic model is formulated and analyzed. The effects of vaccination are also included in the model. Three mathematically important properties are verified for the model: solutions are nonnegative, the population size is time-invariant, and the epidemic concludes with all individuals either remaining susceptible or becoming immune (a property typical of SIR models). The model is applied to a measles epidemic on a university campus. The simulated results are in good agreement with the actual data if it is assumed that the population mixes nonhomogeneously. The results of the simulations indicate that a rate of immunity greater than 98% may be required to prevent an epidemic in a university population. The model has applications to other contagious diseases of SIR type. Furthermore, the simulated results of the model can easily be compared to data, and the effects of a vaccination program can be examined.

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Year:  1991        PMID: 1806092     DOI: 10.1016/0025-5564(91)90051-j

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  2 in total

1.  Spatial patterns in a discrete-time SIS patch model.

Authors:  L J S Allen; Y Lou; A L Nevai
Journal:  J Math Biol       Date:  2008-06-12       Impact factor: 2.259

2.  Optimizing Real-Time Vaccine Allocation in a Stochastic SIR Model.

Authors:  Chantal Nguyen; Jean M Carlson
Journal:  PLoS One       Date:  2016-04-04       Impact factor: 3.240

  2 in total

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