Literature DB >> 12786178

Vaccination against rubella: analysis of the temporal evolution of the age-dependent force of infection and the effects of different contact patterns.

M Amaku1, F A B Coutinho, R S Azevedo, M N Burattini, L F Lopez, E Massad.   

Abstract

In this paper, we analyze the temporal evolution of the age-dependent force of infection and incidence of rubella, after the introduction of a very specific vaccination program in a previously nonvaccinated population where rubella was in endemic steady state. We deduce an integral equation for the age-dependent force of infection, which depends on a number of parameters that can be estimated from the force of infection in a steady state prior to the vaccination program. We present the results of our simulations, which are compared with observed data. We also examine the influence of contact patterns among members of a community on the age-dependent intensity of transmission of rubella and on the results of vaccination strategies. As an example of the theory proposed, we calculate the effects of vaccination strategies for four communities from Caieiras (Brazil), Huixquilucan (Mexico), Finland, and the United Kingdom. The results for each community differ considerably according to the distinct intensity and pattern of transmission in the absence of vaccination. We conclude that this simple vaccination program is not very efficient (very slow) in the goal of eradicating the disease. This gives support to a mixed strategy, proposed by Massad et al., accepted and implemented by the government of the State of São Paulo, Brazil.

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Year:  2003        PMID: 12786178     DOI: 10.1103/PhysRevE.67.051907

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  8 in total

1.  Social mixing patterns for transmission models of close contact infections: exploring self-evaluation and diary-based data collection through a web-based interface.

Authors:  P Beutels; Z Shkedy; M Aerts; P Van Damme
Journal:  Epidemiol Infect       Date:  2006-05-17       Impact factor: 2.451

2.  Modelling vaccination programmes against measles in Taiwan.

Authors:  S C Chen; C F Chang; L J Jou; C M Liao
Journal:  Epidemiol Infect       Date:  2006-10-26       Impact factor: 2.451

3.  The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems.

Authors:  David J Albers; Matthew E Levine; Lena Mamykina; George Hripcsak
Journal:  Math Biosci       Date:  2019-08-24       Impact factor: 2.144

4.  A review of data needed to parameterize a dynamic model of measles in developing countries.

Authors:  Emily K Szusz; Louis P Garrison; Chris T Bauch
Journal:  BMC Res Notes       Date:  2010-03-16

5.  Probabilistic uncertainty analysis of epidemiological modeling to guide public health intervention policy.

Authors:  Jennifer A Gilbert; Lauren Ancel Meyers; Alison P Galvani; Jeffrey P Townsend
Journal:  Epidemics       Date:  2013-11-19       Impact factor: 4.396

6.  Modelling the force of infection for hepatitis A in an urban population-based survey: a comparison of transmission patterns in Brazilian macro-regions.

Authors:  Ricardo Arraes de Alencar Ximenes; Celina Maria Turchi Martelli; Marcos Amaku; Ana Marli C Sartori; Patricia Coelho de Soárez; Hillegonda Maria Dutilh Novaes; Leila Maria Moreira Beltrão Pereira; Regina Célia Moreira; Gerusa Maria Figueiredo; Raymundo Soares de Azevedo
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

Review 7.  A Literature Review of Mathematical Models of Hepatitis B Virus Transmission Applied to Immunization Strategies From 1994 to 2015.

Authors:  Peifeng Liang; Jian Zu; Guihua Zhuang
Journal:  J Epidemiol       Date:  2017-12-23       Impact factor: 3.211

8.  Forecasting versus projection models in epidemiology: the case of the SARS epidemics.

Authors:  Eduardo Massad; Marcelo N Burattini; Luis F Lopez; Francisco A B Coutinho
Journal:  Med Hypotheses       Date:  2005       Impact factor: 1.538

  8 in total

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