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Evaluation of vaccination strategies for SIR epidemics on random networks incorporating household structure.
Ball, Frank; Sirl, David.
Afiliación
  • Ball F; School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
  • Sirl D; School of Mathematical Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK. david.sirl@nottingham.ac.uk.
J Math Biol ; 76(1-2): 483-530, 2018 01.
Article en En | MEDLINE | ID: mdl-28634747
ABSTRACT
This paper is concerned with the analysis of vaccination strategies in a stochastic susceptible [Formula see text] infected [Formula see text] removed model for the spread of an epidemic amongst a population of individuals with a random network of social contacts that is also partitioned into households. Under various vaccine action models, we consider both household-based vaccination schemes, in which the way in which individuals are chosen for vaccination depends on the size of the households in which they reside, and acquaintance vaccination, which targets individuals of high degree in the social network. For both types of vaccination scheme, assuming a large population with few initial infectives, we derive a threshold parameter which determines whether or not a large outbreak can occur and also the probability of a large outbreak and the fraction of the population infected by a large outbreak. The performance of these schemes is studied numerically, focusing on the influence of the household size distribution and the degree distribution of the social network. We find that acquaintance vaccination can significantly outperform the best household-based scheme if the degree distribution of the social network is heavy-tailed. For household-based schemes, when the vaccine coverage is insufficient to prevent a major outbreak and the vaccine is imperfect, we find situations in which both the probability and size of a major outbreak under the scheme which minimises the threshold parameter are larger than in the scheme which maximises the threshold parameter.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vacunación / Epidemias / Modelos Biológicos Tipo de estudio: Clinical_trials / Evaluation_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Math Biol Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vacunación / Epidemias / Modelos Biológicos Tipo de estudio: Clinical_trials / Evaluation_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Math Biol Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido