Relationship among epidemiological parameters of six childhood infections in a non-immunized Brazilian community
Epidemiological parameters, such as age-dependent force of infection and average age at infection (<IMG SRC="../img/13s1.gif" WIDTH=9 HEIGHT=12>) were estimated for rubella, varicella, rotavirus A, respiratory syncytial virus, hepatitis A and parvovirus B19 infections for a non-immun...
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Instituto Oswaldo Cruz, Ministério da Saúde
2009-09-01
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doaj-95965d603cf74c09ad0bdddf1bc929972020-11-24T22:24:49ZengInstituto Oswaldo Cruz, Ministério da SaúdeMemórias do Instituto Oswaldo Cruz.0074-02761678-80602009-09-01104689790010.1590/S0074-02762009000600013Relationship among epidemiological parameters of six childhood infections in a non-immunized Brazilian communityMarcos AmakuRaymundo Soares AzevedoRuy Morgado de CastroEduardo MassadFrancisco Antonio Bezerra CoutinhoEpidemiological parameters, such as age-dependent force of infection and average age at infection (<IMG SRC="../img/13s1.gif" WIDTH=9 HEIGHT=12>) were estimated for rubella, varicella, rotavirus A, respiratory syncytial virus, hepatitis A and parvovirus B19 infections for a non-immunized Brazilian community, using the same sera samples. The for the aforementioned diseases were 8.45 years (yr) [95% CI: (7.23, 9.48) yr], 3.90 yr [95% CI: (3.51, 4.28) yr], 1.03 yr [95% CI: (0.96, 1.09) yr], 1.58 yr [95% CI: (1.39, 1.79) yr], 7.17 yr [95% CI: (6.48, 7.80) yr] and 7.43 yr [95% CI: (5.68, 9.59) yr], respectively. The differences between average ages could be explained by factors such as differences in the effectiveness of the protection conferred to newborns by maternally derived antibodies, competition between virus species and age-dependent host susceptibility. Our seroprevalence data may illustrate a case of the above-mentioned mechanisms working together within the same population.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762009000600013seroprevalenceviral diseasesepidemiologyaverage ageforce of infectionMonte Carlo method |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marcos Amaku Raymundo Soares Azevedo Ruy Morgado de Castro Eduardo Massad Francisco Antonio Bezerra Coutinho |
spellingShingle |
Marcos Amaku Raymundo Soares Azevedo Ruy Morgado de Castro Eduardo Massad Francisco Antonio Bezerra Coutinho Relationship among epidemiological parameters of six childhood infections in a non-immunized Brazilian community Memórias do Instituto Oswaldo Cruz. seroprevalence viral diseases epidemiology average age force of infection Monte Carlo method |
author_facet |
Marcos Amaku Raymundo Soares Azevedo Ruy Morgado de Castro Eduardo Massad Francisco Antonio Bezerra Coutinho |
author_sort |
Marcos Amaku |
title |
Relationship among epidemiological parameters of six childhood infections in a non-immunized Brazilian community |
title_short |
Relationship among epidemiological parameters of six childhood infections in a non-immunized Brazilian community |
title_full |
Relationship among epidemiological parameters of six childhood infections in a non-immunized Brazilian community |
title_fullStr |
Relationship among epidemiological parameters of six childhood infections in a non-immunized Brazilian community |
title_full_unstemmed |
Relationship among epidemiological parameters of six childhood infections in a non-immunized Brazilian community |
title_sort |
relationship among epidemiological parameters of six childhood infections in a non-immunized brazilian community |
publisher |
Instituto Oswaldo Cruz, Ministério da Saúde |
series |
Memórias do Instituto Oswaldo Cruz. |
issn |
0074-0276 1678-8060 |
publishDate |
2009-09-01 |
description |
Epidemiological parameters, such as age-dependent force of infection and average age at infection (<IMG SRC="../img/13s1.gif" WIDTH=9 HEIGHT=12>) were estimated for rubella, varicella, rotavirus A, respiratory syncytial virus, hepatitis A and parvovirus B19 infections for a non-immunized Brazilian community, using the same sera samples. The for the aforementioned diseases were 8.45 years (yr) [95% CI: (7.23, 9.48) yr], 3.90 yr [95% CI: (3.51, 4.28) yr], 1.03 yr [95% CI: (0.96, 1.09) yr], 1.58 yr [95% CI: (1.39, 1.79) yr], 7.17 yr [95% CI: (6.48, 7.80) yr] and 7.43 yr [95% CI: (5.68, 9.59) yr], respectively. The differences between average ages could be explained by factors such as differences in the effectiveness of the protection conferred to newborns by maternally derived antibodies, competition between virus species and age-dependent host susceptibility. Our seroprevalence data may illustrate a case of the above-mentioned mechanisms working together within the same population. |
topic |
seroprevalence viral diseases epidemiology average age force of infection Monte Carlo method |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762009000600013 |
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