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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

BACKGROUND: São 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 demo...

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Autores principales: Chiaravalloti-Neto, Francisco, da Silva, Rafael Alves, Zini, Nathalia, da Silva, Gislaine Celestino Dutra, da Silva, Natal Santos, Parra, Maisa Carla Pereira, Dibo, Margareth Regina, Estofolete, Cassia Fernanda, Fávaro, Eliane Aparecida, Dutra, Karina Rocha, Mota, Manlio Tasso Oliveira, Guimarães, Georgia Freitas, Terzian, Ana Carolina Bernardes, Blangiardo, Marta, Nogueira, Mauricio Lacerda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528304/
https://www.ncbi.nlm.nih.gov/pubmed/31109295
http://dx.doi.org/10.1186/s12879-019-4074-4
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author Chiaravalloti-Neto, Francisco
da Silva, Rafael Alves
Zini, Nathalia
da Silva, Gislaine Celestino Dutra
da Silva, Natal Santos
Parra, Maisa Carla Pereira
Dibo, Margareth Regina
Estofolete, Cassia Fernanda
Fávaro, Eliane Aparecida
Dutra, Karina Rocha
Mota, Manlio Tasso Oliveira
Guimarães, Georgia Freitas
Terzian, Ana Carolina Bernardes
Blangiardo, Marta
Nogueira, Mauricio Lacerda
author_facet Chiaravalloti-Neto, Francisco
da Silva, Rafael Alves
Zini, Nathalia
da Silva, Gislaine Celestino Dutra
da Silva, Natal Santos
Parra, Maisa Carla Pereira
Dibo, Margareth Regina
Estofolete, Cassia Fernanda
Fávaro, Eliane Aparecida
Dutra, Karina Rocha
Mota, Manlio Tasso Oliveira
Guimarães, Georgia Freitas
Terzian, Ana Carolina Bernardes
Blangiardo, Marta
Nogueira, Mauricio Lacerda
author_sort Chiaravalloti-Neto, Francisco
collection PubMed
description BACKGROUND: São 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. METHODS: A 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). RESULTS: We 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. CONCLUSIONS: Only one in four people aged 10 years or older did not have contact with any of the serotypes of dengue virus in Vila Toninho neighbourhood in São José do Rio Preto. Age, race and type of house were associated with the occurrence of the disease. The use of INLA in a geostatistical approach in a Bayesian context allowed us to take into account the spatial dependence between the observations and identify the associated covariates to dengue seroprevalence. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-019-4074-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-65283042019-05-28 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 Chiaravalloti-Neto, Francisco da Silva, Rafael Alves Zini, Nathalia da Silva, Gislaine Celestino Dutra da Silva, Natal Santos Parra, Maisa Carla Pereira Dibo, Margareth Regina Estofolete, Cassia Fernanda Fávaro, Eliane Aparecida Dutra, Karina Rocha Mota, Manlio Tasso Oliveira Guimarães, Georgia Freitas Terzian, Ana Carolina Bernardes Blangiardo, Marta Nogueira, Mauricio Lacerda BMC Infect Dis Research Article BACKGROUND: São 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. METHODS: A 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). RESULTS: We 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. CONCLUSIONS: Only one in four people aged 10 years or older did not have contact with any of the serotypes of dengue virus in Vila Toninho neighbourhood in São José do Rio Preto. Age, race and type of house were associated with the occurrence of the disease. The use of INLA in a geostatistical approach in a Bayesian context allowed us to take into account the spatial dependence between the observations and identify the associated covariates to dengue seroprevalence. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-019-4074-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-20 /pmc/articles/PMC6528304/ /pubmed/31109295 http://dx.doi.org/10.1186/s12879-019-4074-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chiaravalloti-Neto, Francisco
da Silva, Rafael Alves
Zini, Nathalia
da Silva, Gislaine Celestino Dutra
da Silva, Natal Santos
Parra, Maisa Carla Pereira
Dibo, Margareth Regina
Estofolete, Cassia Fernanda
Fávaro, Eliane Aparecida
Dutra, Karina Rocha
Mota, Manlio Tasso Oliveira
Guimarães, Georgia Freitas
Terzian, Ana Carolina Bernardes
Blangiardo, Marta
Nogueira, Mauricio Lacerda
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
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528304/
https://www.ncbi.nlm.nih.gov/pubmed/31109295
http://dx.doi.org/10.1186/s12879-019-4074-4
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