Literature DB >> 11965262

Optimal vaccination policies for stochastic epidemics among a population of households.

Frank G Ball1, Owen D Lyne.   

Abstract

This paper considers stochastic epidemics among a population partitioned into households, with mixing locally within households and globally throughout the population. The two levels of mixing have important implications for the threshold behaviour of the epidemic and consequently for the form and construction of optimal vaccination policies. Optimality is considered in terms of the cost of the vaccination program, the form of which is general enough to include costs of the vaccine itself, its administration, travel to and/or contact with the households. New explicit results are obtained by a constructive method which explain the form of optimal vaccination policies. Numerical studies are presented which exemplify the results discussed.

Mesh:

Year:  2002        PMID: 11965262     DOI: 10.1016/s0025-5564(01)00095-5

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


  20 in total

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Journal:  Comput Biol Chem       Date:  2010-03-09       Impact factor: 2.877

6.  Distinguishing vaccine efficacy and effectiveness.

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7.  A statistical framework for the adaptive management of epidemiological interventions.

Authors:  Daniel Merl; Leah R Johnson; Robert B Gramacy; Marc Mangel
Journal:  PLoS One       Date:  2009-06-05       Impact factor: 3.240

8.  Household structure and infectious disease transmission.

Authors:  T House; M J Keeling
Journal:  Epidemiol Infect       Date:  2008-10-08       Impact factor: 2.451

9.  Predictive and Reactive Distribution of Vaccines and Antivirals during Cross-Regional Pandemic Outbreaks.

Authors:  Andrés Uribe-Sánchez; Alex Savachkin
Journal:  Influenza Res Treat       Date:  2011-06-05

10.  Epidemiological consequences of household-based antiviral prophylaxis for pandemic influenza.

Authors:  Andrew J Black; Thomas House; M J Keeling; J V Ross
Journal:  J R Soc Interface       Date:  2013-02-06       Impact factor: 4.118

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