Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: Rocha, Nildimar Honorio
Data de Publicação: 2009
Outros Autores: Nogueira, Rita Maria Ribeiro, Codeço, Cláudia Torres, Carvalho, Marilia Sá, Cruz, Oswaldo Gonçalves, Magalhães, Mônica de Avelar Figueiredo Mafra, Araújo, Josélio Maria Galvão de, Araújo, Eliane Saraiva Machado de, Gomes, Marcelo Quintela, Pinheiro, Luciane Silva, Pinel, Célio da Silva, Oliveira, Ricardo Lourenço de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/837
Resumo: This work was supported by grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro-FAPERJ (grants no. E-26/100.609/2007 and E-26/102.936/2008), Fundação Oswaldo Cruz and Coordenação de Aperfeiçoamento de Nível Superior-CAPES. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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spelling Rocha, Nildimar HonorioNogueira, Rita Maria RibeiroCodeço, Cláudia TorresCarvalho, Marilia SáCruz, Oswaldo GonçalvesMagalhães, Mônica de Avelar Figueiredo MafraAraújo, Josélio Maria Galvão deAraújo, Eliane Saraiva Machado deGomes, Marcelo QuintelaPinheiro, Luciane SilvaPinel, Célio da SilvaOliveira, Ricardo Lourenço de2010-11-01T19:45:20Z2010-11-04T14:19:58Z2010-11-01T19:45:20Z2010-11-04T14:19:58Z2009ROCHA, Nildimar Honorio et al. Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil. PLoS Negl. Trop. Dis., v. 3, n. 11, p. 1-11, Nov. 2009.1935-2735https://www.arca.fiocruz.br/handle/icict/83710.1371/journal.pntd.0000545This work was supported by grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro-FAPERJ (grants no. E-26/100.609/2007 and E-26/102.936/2008), Fundação Oswaldo Cruz and Coordenação de Aperfeiçoamento de Nível Superior-CAPES. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.This work was supported by grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro-FAPERJ (grants no. E-26/100.609/2007 and E-26/102.936/2008), Fundação Oswaldo Cruz and Coordenação de Aperfeiçoamento de Nível Superior-CAPES. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Transmissores de Hematozoários. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Centro de Informação Científica e Tecnológica. Laboratório de Processamento de Imagens. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Transmissores de Hematozoários. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Transmissores de Hematozoários. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. União Ativista Defensora do Meio Ambiente. Núcleo de Apoio às Pesquisas em Vetores Rio de Janeiro. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Transmissores de Hematozoários. Rio de Janeiro, RJ, Brasil.Background: Rio de Janeiro, Brazil, experienced a severe dengue fever epidemic in 2008. This was the worst epidemic ever, characterized by a sharp increase in case-fatality rate, mainly among younger individuals. A combination of factors, such as climate, mosquito abundance, buildup of the susceptible population, or viral evolution, could explain the severity of this epidemic. The main objective of this study is to model the spatial patterns of dengue seroprevalence in three neighborhoods with different socioeconomic profiles in Rio de Janeiro. As blood sampling coincided with the peak of dengue transmission, we were also able to identify recent dengue infections and visually relate them to Aedes aegypti spatial distribution abundance. We analyzed individual and spatial factors associated with seroprevalence using Generalized Additive Model (GAM). Methodology/Principal Findings: Three neighborhoods were investigated: a central urban neighborhood, and two isolated areas characterized as a slum and a suburban area. Weekly mosquito collections started in September 2006 and continued until March 2008. In each study area, 40 adult traps and 40 egg traps were installed in a random sample of premises, and two infestation indexes calculated: mean adult density and mean egg density. Sera from individuals living in the three neighborhoods were collected before the 2008 epidemic (July through November 2007) and during the epidemic (February through April 2008). Sera were tested for DENV-reactive IgM, IgG, Nested RT-PCR, and Real Time RT-PCR. From the before– after epidemics paired data, we described seroprevalence, recent dengue infections (asymptomatic or not), and seroconversion. Recent dengue infection varied from 1.3% to 14.1% among study areas. The highest IgM seropositivity occurred in the slum, where mosquito abundance was the lowest, but household conditions were the best for promoting contact between hosts and vectors. By fitting spatial GAM we found dengue seroprevalence hotspots located at the entrances of the two isolated communities, which are commercial activity areas with high human movement. No association between recent dengue infection and household’s high mosquito abundance was observed in this sample. Conclusions/Significance: This study contributes to better understanding the dynamics of dengue in Rio de Janeiro by assessing the relationship between dengue seroprevalence, recent dengue infection, and vector density. In conclusion, the variation in spatial seroprevalence patterns inside the neighborhoods, with significantly higher risk patches close to the areas with large human movement, suggests that humans may be responsible for virus inflow to small neighborhoods in Rio de Janeiro. Surveillance guidelines should be further discussed, considering these findings, particularly the spatial patterns for both human and mosquito populations.engPublic Library of ScienceSpatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleSpatial EvaluationDengue SeroprevalenceVector DensityRio de JaneiroBrazilinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txttext/plain1748https://www.arca.fiocruz.br/bitstream/icict/837/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51ORIGINALMagalhães_Spatial Evaluation and Modeling.pdfapplication/pdf738052https://www.arca.fiocruz.br/bitstream/icict/837/2/Magalh%c3%a3es_Spatial%20Evaluation%20and%20Modeling.pdf5543606b759470fe631398df7c2b7a97MD52TEXTMagalhães_Spatial Evaluation and Modeling.pdf.txtMagalhães_Spatial Evaluation and Modeling.pdf.txtExtracted texttext/plain54989https://www.arca.fiocruz.br/bitstream/icict/837/5/Magalh%c3%a3es_Spatial%20Evaluation%20and%20Modeling.pdf.txtfbc4a70b24d758c0a394259154fac029MD55THUMBNAILMagalhães_Spatial Evaluation and Modeling.pdf.jpgMagalhães_Spatial Evaluation and Modeling.pdf.jpgGenerated Thumbnailimage/jpeg2679https://www.arca.fiocruz.br/bitstream/icict/837/4/Magalh%c3%a3es_Spatial%20Evaluation%20and%20Modeling.pdf.jpgf02045b1b5a95c7cb8082947818c5f5bMD54icict/8372022-06-24 13:10:44.984oai:www.arca.fiocruz.br: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Repositório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352022-06-24T16:10:44Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.pt_BR.fl_str_mv Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil
title Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil
spellingShingle Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil
Rocha, Nildimar Honorio
Spatial Evaluation
Dengue Seroprevalence
Vector Density
Rio de Janeiro
Brazil
title_short Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil
title_full Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil
title_fullStr Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil
title_full_unstemmed Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil
title_sort Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil
author Rocha, Nildimar Honorio
author_facet Rocha, Nildimar Honorio
Nogueira, Rita Maria Ribeiro
Codeço, Cláudia Torres
Carvalho, Marilia Sá
Cruz, Oswaldo Gonçalves
Magalhães, Mônica de Avelar Figueiredo Mafra
Araújo, Josélio Maria Galvão de
Araújo, Eliane Saraiva Machado de
Gomes, Marcelo Quintela
Pinheiro, Luciane Silva
Pinel, Célio da Silva
Oliveira, Ricardo Lourenço de
author_role author
author2 Nogueira, Rita Maria Ribeiro
Codeço, Cláudia Torres
Carvalho, Marilia Sá
Cruz, Oswaldo Gonçalves
Magalhães, Mônica de Avelar Figueiredo Mafra
Araújo, Josélio Maria Galvão de
Araújo, Eliane Saraiva Machado de
Gomes, Marcelo Quintela
Pinheiro, Luciane Silva
Pinel, Célio da Silva
Oliveira, Ricardo Lourenço de
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Rocha, Nildimar Honorio
Nogueira, Rita Maria Ribeiro
Codeço, Cláudia Torres
Carvalho, Marilia Sá
Cruz, Oswaldo Gonçalves
Magalhães, Mônica de Avelar Figueiredo Mafra
Araújo, Josélio Maria Galvão de
Araújo, Eliane Saraiva Machado de
Gomes, Marcelo Quintela
Pinheiro, Luciane Silva
Pinel, Célio da Silva
Oliveira, Ricardo Lourenço de
dc.subject.en.pt_BR.fl_str_mv Spatial Evaluation
Dengue Seroprevalence
Vector Density
Rio de Janeiro
Brazil
topic Spatial Evaluation
Dengue Seroprevalence
Vector Density
Rio de Janeiro
Brazil
description This work was supported by grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro-FAPERJ (grants no. E-26/100.609/2007 and E-26/102.936/2008), Fundação Oswaldo Cruz and Coordenação de Aperfeiçoamento de Nível Superior-CAPES. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
publishDate 2009
dc.date.issued.fl_str_mv 2009
dc.date.accessioned.fl_str_mv 2010-11-01T19:45:20Z
2010-11-04T14:19:58Z
dc.date.available.fl_str_mv 2010-11-01T19:45:20Z
2010-11-04T14:19:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv ROCHA, Nildimar Honorio et al. Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil. PLoS Negl. Trop. Dis., v. 3, n. 11, p. 1-11, Nov. 2009.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/837
dc.identifier.issn.pt_BR.fl_str_mv 1935-2735
dc.identifier.doi.pt_BR.fl_str_mv 10.1371/journal.pntd.0000545
identifier_str_mv ROCHA, Nildimar Honorio et al. Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil. PLoS Negl. Trop. Dis., v. 3, n. 11, p. 1-11, Nov. 2009.
1935-2735
10.1371/journal.pntd.0000545
url https://www.arca.fiocruz.br/handle/icict/837
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
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