Literature DB >> 21945582

Dynamics of a multigroup epidemiological model with group-targeted vaccination strategies.

Lamwah Chow1, Meng Fan, Zhilan Feng.   

Abstract

A multigroup SIR epidemiological model is used to study the effects of group-targeted vaccination strategies on disease control and prevention. The model takes into consideration both proportionate and preferential mixing patterns between groups. We show that the dynamical behaviors of the model are determined by the control reproduction number R(v) and, under certain conditions, by the type-reproduction number T(1v). These reproduction numbers provide criteria for evaluating control strategies including targeted vaccination programs and reduction of interactions between groups. We also illustrate how these reproduction numbers can be used to examine the influence of population heterogeneities such as group preferences, activity levels, and mixing patterns. Criteria are also established for disease eradication from the entire network of populations by applying vaccination strategies in one or some sub-populations.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21945582     DOI: 10.1016/j.jtbi.2011.09.020

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  A general theory for target reproduction numbers with applications to ecology and epidemiology.

Authors:  Mark A Lewis; Zhisheng Shuai; P van den Driessche
Journal:  J Math Biol       Date:  2019-03-11       Impact factor: 2.259

2.  An elaboration of theory about preventing outbreaks in homogeneous populations to include heterogeneity or preferential mixing.

Authors:  Zhilan Feng; Andrew N Hill; Philip J Smith; John W Glasser
Journal:  J Theor Biol       Date:  2015-09-14       Impact factor: 2.691

3.  Extending the type reproduction number to infectious disease control targeting contacts between types.

Authors:  Zhisheng Shuai; J A P Heesterbeek; P van den Driessche
Journal:  J Math Biol       Date:  2012-09-02       Impact factor: 2.259

4.  Structural identifiability analysis of age-structured PDE epidemic models.

Authors:  Marissa Renardy; Denise Kirschner; Marisa Eisenberg
Journal:  J Math Biol       Date:  2022-01-04       Impact factor: 2.259

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.