Imperial College London
Alternate

ProfessorMartaBlangiardo

Faculty of Medicine, School of Public Health

Chair in Biostatistics
 
 
 
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Contact

 

m.blangiardo Website

 
 
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Location

 

705School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chiaravalloti-Neto:2019:10.1186/s12879-019-4074-4,
author = {Chiaravalloti-Neto, F and Alves, da Silva R and Zini, N and Dutra, da Silva GC and Santos, da Silva N and Pereira, Parra MC and Dibo, MR and Estofolete, CF and Favaro, EA and Rocha, Dutra K and Oliveira, Mota MT and Freitas, Guimaraes G and Bernades, Terzian AC and Blangiardo, M and Lacerda, Nogueira M},
doi = {10.1186/s12879-019-4074-4},
journal = {BMC Infectious Diseases},
title = {Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of São Paulo, Brazil},
url = {http://dx.doi.org/10.1186/s12879-019-4074-4},
volume = {19},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundSão José do Rio Preto is one of the cities of the state of São Paulo, Brazil, that is hyperendemic for dengue, with the presence of the four dengue serotypes.Objectives: to calculate dengue seroprevalence in a neighbourhood of São José do Rio Preto and identify if socioeconomic and demographic covariates are associated with dengue seropositivity.MethodsA cohort study to evaluate dengue seroprevalence and incidence and associated factors on people aged 10 years or older, was assembled in Vila Toninho neighbourhood, São José do Rio Preto. The participant enrolment occurred from October 2015 to March 2016 (the first wave of the cohort study), when blood samples were collected for serological test (ELISA IgG anti-DENV) and questionnaires were administrated on socio-demographic variables. We evaluated the data collected in this first wave using a cross-sectional design. We considered seropositive the participants that were positive in the serological test (seronegative otherwise). We modelled the seroprevalence with a logistic regression in a geostatistical approach. The Bayesian inference was made using integrated nested Laplace approximations (INLA) coupled with the Stochastic Partial Differential Equation method (SPDE).ResultsWe found 986 seropositive individuals for DENV in 1322 individuals surveyed in the study area in the first wave of the cohort study, corresponding to a seroprevalence of 74.6% (95%CI: 72.2–76.9). Between the population that said never had dengue fever, 68.4% (566/828) were dengue seropositive. Older people, non-white and living in a house (instead of in an apartment), were positively associated with dengue seropositivity. We adjusted for the other socioeconomic and demographic covariates, and accounted for residual spatial dependence between observations, which was found to present up to 800 m.ConclusionsOnly one in four people aged 10 years or older did not hav
AU  - Chiaravalloti-Neto,F
AU  - Alves,da Silva R
AU  - Zini,N
AU  - Dutra,da Silva GC
AU  - Santos,da Silva N
AU  - Pereira,Parra MC
AU  - Dibo,MR
AU  - Estofolete,CF
AU  - Favaro,EA
AU  - Rocha,Dutra K
AU  - Oliveira,Mota MT
AU  - Freitas,Guimaraes G
AU  - Bernades,Terzian AC
AU  - Blangiardo,M
AU  - Lacerda,Nogueira M
DO  - 10.1186/s12879-019-4074-4
PY  - 2019///
SN  - 1471-2334
TI  - Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of São Paulo, Brazil
T2  - BMC Infectious Diseases
UR  - http://dx.doi.org/10.1186/s12879-019-4074-4
UR  - http://hdl.handle.net/10044/1/70461
VL  - 19
ER  -
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