Literature DB >> 18425294

Seroprevalence of human parvovirus B19 in a suburban population in São Paulo, Brazil.

E M M Huatuco1, E L Durigon, F L A S Lebrun, S D Passos, R E Gazeta, R S Azevedo Neto, E Massad.   

Abstract

OBJECTIVE: To analyze the prevalence of IgG antibodies to human parvovirus B19.
METHODS: Cross-sectional study in a suburban community in São Paulo, Southeastern Brazil, between November 1990 and January 1991. Randomly selected (N=435) representative samples of sera were collected from healthy children older than 15 days old and adults up to 40 years old. IgG antibodies were detected using ELISA.
RESULTS: High prevalence of IgG antibodies to B19 parvovirus was found in 87% of newborns. The prevalence of maternally derived IgG antibodies exponentially plunged up to the 19th month of age. Low prevalence of antibodies was found in the first 4 years of life, increasing up to 72% in those aged 31-40 years. It was estimated that the average age of first infection in this population is 21 +/- 7 years old and the optimal age for vaccination with a hypothetical vaccine would be 1 year of age.
CONCLUSIONS: Parvovirus B19 IgG antibody prevalence was high in newborns and those aged 31-40 years. The analysis by age groups showed a pattern similar to that found in previous studies, i.e., low prevalence of infection in children that increases with age.

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Year:  2008        PMID: 18425294     DOI: 10.1590/s0034-89102008005000019

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  3 in total

1.  Original Research: Parvovirus B19 infection in children with sickle cell disease in the hydroxyurea era.

Authors:  Jane S Hankins; Rhiannon R Penkert; Paul Lavoie; Li Tang; Yilun Sun; Julia L Hurwitz
Journal:  Exp Biol Med (Maywood)       Date:  2016-03-02

2.  Model structure analysis to estimate basic immunological processes and maternal risk for parvovirus B19.

Authors:  Nele Goeyvaerts; Niel Hens; Marc Aerts; Philippe Beutels
Journal:  Biostatistics       Date:  2010-09-14       Impact factor: 5.899

3.  Sample size calculation for estimating key epidemiological parameters using serological data and mathematical modelling.

Authors:  Stéphanie Blaizot; Sereina A Herzog; Steven Abrams; Heidi Theeten; Amber Litzroth; Niel Hens
Journal:  BMC Med Res Methodol       Date:  2019-03-07       Impact factor: 4.615

  3 in total

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