Literature DB >> 9009575

Optimal vaccination strategies--for whom?

J Müller1.   

Abstract

A SIRS model with vaccination is considered. The vaccination is assumed to have side effects (for simplicity, these side effects are modeled as a probability of becoming ill because of vaccination). It is the interest of the total population to minimize the prevalence of disease; hence, the vaccination rate that minimizes the prevalence will be determined. In Section 2, the individual is considered: an individual tries to minimize his or her own risk. This angle of approach results in a vaccination rate dependent on the prevalence of the disease. The bifurcations of this system are analyzed, and the optimal vaccination coverage for the individual is computed. This coverage is then compared with the optimal vaccination coverage for the total population: it is found that they disagree for some parameter sets.

Mesh:

Year:  1997        PMID: 9009575     DOI: 10.1016/s0025-5564(96)00140-x

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


  3 in total

1.  A general approach for population games with application to vaccination.

Authors:  Timothy C Reluga; Alison P Galvani
Journal:  Math Biosci       Date:  2011-01-28       Impact factor: 2.144

2.  Optimizing influenza vaccine policies for controlling 2009-like pandemics and regular outbreaks.

Authors:  Sheng-I Chen; Chia-Yuan Wu; Yu-Hsuan Wu; Min-Wei Hsieh
Journal:  PeerJ       Date:  2019-01-28       Impact factor: 2.984

3.  Hitting the Optimal Vaccination Percentage and the Risks of Error: Why to Miss Right.

Authors:  Michael J Harvey; Lisa A Prosser; Mark L Messonnier; David W Hutton
Journal:  PLoS One       Date:  2016-06-22       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.