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 SAo Paulo, Brazil

Autor(es):Mostrar menos -

Chiaravalloti-Neto, Francisco ^[1] ; da Silva, Rafael Alves ^[2] ; Zini, Nathalia ^[2] ; Dutra da Silva, Gislaine Celestino ^[2] ; da Silva, Natal Santos ^[3] ; Pereira Parra, Maisa Carla ^[2] ; Dibo, Margareth Regina ^[4] ; Estofolete, Cassia Fernanda ^[2] ; Favaro, Eliane Aparecida ^[2] ; Dutra, Karina Rocha ^[2] ; Oliveira Mota, Manlio Tasso ^[2] ; Guimaraes, Georgia Freitas ^[2] ; Bernardes Terzian, Ana Carolina ^[2] ; Blangiardo, Marta ^[5] ; Nogueira, Mauricio Lacerda ^[2]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Fac Saude Publ, Dept Epidemiol, Ave Doutor Arnaldo 715, BR-01246904 Sao Paulo, SP - Brazil

^[2] Fac Med Sao Jose do Rio Preto FAMERP, Dept Doencas Dermatol Infecciosas & Parasitarias, Lab Pesquisas Virol, Ave Brigadeiro Faria Lima 5416, BR-15090000 Sao Jose Do Rio Preto, SP - Brazil

^[3] Uniao Fac Grandes Lagos, Fac Med, Lab Modelagens Matemat & Estat Med, Rua Doutor Eduardo Nielsen 960, BR-15030070 Sao Jose Do Rio Preto, SP - Brazil

^[4] Superintendencia Controle Endemias Estado Sao Paul, Lab Entomol, Rua Cardeal Arcoverde 2878, BR-05408003 Sao Paulo, SP - Brazil

^[5] Imperial Coll, MRC PHE Ctr Environm & Hlth, Dept Epidemiol & Biostat, St Marys Campus, Norfolk Pl, London W2 1PG - England

• Tipo de documento: Artigo Científico
• Fonte: BMC INFECTIOUS DISEASES; v. 19, MAY 20 2019.
• Citações Web of Science: 0

Resumo

BackgroundSAo Jose do Rio Preto is one of the cities of the state of SAo Paulo, Brazil, that is hyperendemic for dengue, with the presence of the four dengue serotypes.Objectives: to calculate dengue seroprevalence in a neighbourhood of SAo Jose 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 10yearsor older, was assembled in Vila Toninho neighbourhood, SAo Jose 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 800m.ConclusionsOnly one in four people aged 10years or older did not have contact with any of the serotypes of dengue virus in Vila Toninho neighbourhood in SAo Jose 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. (AU)

• Processo FAPESP: 13/21719-3 - Estudo epidemiológico da dengue (sorotipos 1 a 4) em coorte prospectiva de São José do Rio Preto, São Paulo, Brasil, durante 2014 a 2018
• Beneficiário: Maurício Lacerda Nogueira
• Linha de fomento: Auxílio à Pesquisa - Temático
• Processo FAPESP: 15/12295-0 - Diagnóstico de arboviroses brasileiras e emergentes em pacientes e mosquitos em duas regiões distintas do Brasil
• Beneficiário: Ana Carolina Bernardes Terzian
• Linha de fomento: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 17/09671-6 - Estudo Epidemiológico da Dengue (sorotipos 1 a 4), Zika e Chikungunya em coorte prospectiva de São José do Rio Preto, São Paulo, Brasil: análise dos resultados da primeira onda
• Beneficiário: Francisco Chiaravalloti Neto
• Linha de fomento: Bolsas no Exterior - Pesquisa