Literature DB >> 12421553

The critical vaccination fraction for heterogeneous epidemic models.

Andrew N Hill1, Ira M Longini.   

Abstract

Given a population with m heterogeneous subgroups, a method is developed for determining minimal vaccine allocations to prevent an epidemic by setting the reproduction number to 1. The framework is sufficiently general to apply to several epidemic situations, such as SIR, SEIR and SIS models with vital dynamics. The reproduction number is the largest eigenvalue of the linearized system round the local point of equilibrium of the model. Using the Perron-Frobenius theorem, an exact method for generating solutions is given and the threshold surface of critical vaccine allocations is shown to be a compact, connected subset of a regular (m-1)-dimensional manifold. Populations with two subgroups are examined in full. The threshold curves are either hyperbolas or straight lines. Explicit conditions are given as to when threshold elimination is achievable by vaccinating just one or two groups in a multi-group population and expressions for the critical coverage are derived. Specific reference is made to an influenza A model. Separable or proportionate mixing is also treated. Conditions are conjectured for convexity of the threshold surface and the problem of minimizing the amount of vaccine used while remaining on the threshold surface is discussed.

Mesh:

Year:  2003        PMID: 12421553     DOI: 10.1016/s0025-5564(02)00129-3

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


  29 in total

1.  Methods of modelling viral disease dynamics across the within- and between-host scales: the impact of virus dose on host population immunity.

Authors:  Shelby H Steinmeyer; Claus O Wilke; Kim M Pepin
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2.  Vaccination with partial knowledge of external effectiveness.

Authors:  Charles F Manski
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Review 3.  Perspectives on the basic reproductive ratio.

Authors:  J M Heffernan; R J Smith; L M Wahl
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4.  What is the best control strategy for multiple infectious disease outbreaks?

Authors:  Andreas Handel; Ira M Longini; Rustom Antia
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5.  Planning for the control of pandemic influenza A (H1N1) in Los Angeles County and the United States.

Authors:  Dennis L Chao; Laura Matrajt; Nicole E Basta; Jonathan D Sugimoto; Brandon Dean; Dee Ann Bagwell; Brit Oiulfstad; M Elizabeth Halloran; Ira M Longini
Journal:  Am J Epidemiol       Date:  2011-03-22       Impact factor: 4.897

6.  Adaptive vaccination strategies to mitigate pandemic influenza: Mexico as a case study.

Authors:  Gerardo Chowell; Cécile Viboud; Xiaohong Wang; Stefano M Bertozzi; Mark A Miller
Journal:  PLoS One       Date:  2009-12-03       Impact factor: 3.240

7.  Age groups and spread of influenza: implications for vaccination strategy.

Authors:  Ying-Hen Hsieh
Journal:  BMC Infect Dis       Date:  2010-04-30       Impact factor: 3.090

8.  Modeling strict age-targeted mitigation strategies for COVID-19.

Authors:  Maria Chikina; Wesley Pegden
Journal:  PLoS One       Date:  2020-07-24       Impact factor: 3.240

Review 9.  Modeling cholera outbreaks.

Authors:  Dennis L Chao; Ira M Longini; J Glenn Morris
Journal:  Curr Top Microbiol Immunol       Date:  2014       Impact factor: 4.291

Review 10.  Estimating influenza vaccine efficacy from challenge and community-based study data.

Authors:  Nicole E Basta; M Elizabeth Halloran; Laura Matrajt; Ira M Longini
Journal:  Am J Epidemiol       Date:  2008-10-29       Impact factor: 4.897

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