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Rubella seroepidemiology in a non-immunized population of São Paulo State, Brazil

Published online by Cambridge University Press:  15 May 2009

R. S. De Azevedo Neto ,
A. S. B. Silveira ,
D. J. Nokes ,
H. M. Yang ,
S. D. Passos ,
M. R. A. Cardoso  and
E. Massad
R. S. De Azevedo Neto
Affiliation:
Faculdade de Medicina da Universidade de São Paulo and LIM-01 HCFMUSP, São Paulo, Brazil Isaac Newton Institute for Mathematical Sciences, University of Cambridge, UK
A. S. B. Silveira
Affiliation:
Faculdade de Medicina da Universidade de São Paulo and LIM-01 HCFMUSP, São Paulo, Brazil Centro de Vigilância Epidemiológica, Secretaria de Estado da Saúde, São Paulo, Brazil
D. J. Nokes
Affiliation:
Parasite Epidemiology Research Group, Department of Zoology, University of Oxford, UK
H. M. Yang
Affiliation:
Faculdade de Medicina da Universidade de São Paulo and LIM-01 HCFMUSP, São Paulo, Brazil
S. D. Passos
Affiliation:
Faculdade de Medicina da Universidade de São Paulo and LIM-01 HCFMUSP, São Paulo, Brazil
M. R. A. Cardoso
Affiliation:
Faculdade de Saúde Pública da Universidade de São Paulo, São Paulo, Brazil
E. Massad*
Affiliation:
Faculdade de Medicina da Universidade de São Paulo and LIM-01 HCFMUSP, São Paulo, Brazil Isaac Newton Institute for Mathematical Sciences, University of Cambridge, UK
*
* Author for correspondence: Departamento de Patologia da Faculdade de Medicina da Universidade de São Paulo, Avenida Doutor Arnaldo 455, São Paulo, SP 01246-903, Brazil.
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A rubella serological survey of 476 individuals selected by cluster sampling technique from Caieiras, a small town located in the outskirts of São Paulo city, southeastern Brazil, was carried out over the period November 1990–January 1991. The aim of the study was to characterize rubella epidemiology in a representative non-immunized community in south east Brazil. The survey comprised a seroprevalence study, stratified by age (0–40 years) and a seroconversion study of rubella vaccine in non-infected children below 2 years of age. Mathematical techniques were applied to resultant data sets to determine the age dependent rates of decay in the proportion of individuals with maternally derived antibodies, vaccine seroconversion, and infection of susceptibles, termed the force of infection, and to estimate the average age at first infection.

Type
Research Article
Information
Epidemiology & Infection , Volume 113 , Issue 1 , August 1994 , pp. 161 - 173
Copyright
Copyright © Cambridge University Press 1994

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