Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cadernos de Saúde Pública |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2011000300019 |
Resumo: | This study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables. The study analyzed reported dengue cases among the city's inhabitants, rainfall, Breteau index (for Aedes aegypti and Aedes albopictus), Gini index, and social development index. We conducted mapping and used the global Moran index to measure the indicators' spatial autocorrelation, which was positive for all variables. The generalized linear model showed a direct association between dengue incidence and rainfall, one-month rainfall time lag, Gini index, and Breteau index for A. albopictus. The conditional autoregressive model (CAR) showed a direct association with rainfall for four months of the year, rain time lag in July, and Gini index in February. The results demonstrate the importance of socio-environmental variables in the dynamics of dengue transmission and the relevance for the development of dengue control strategies. |
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Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, BrazilDengueEcological StudiesEnvironmental IndicatorsSpatial AnalysisThis study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables. The study analyzed reported dengue cases among the city's inhabitants, rainfall, Breteau index (for Aedes aegypti and Aedes albopictus), Gini index, and social development index. We conducted mapping and used the global Moran index to measure the indicators' spatial autocorrelation, which was positive for all variables. The generalized linear model showed a direct association between dengue incidence and rainfall, one-month rainfall time lag, Gini index, and Breteau index for A. albopictus. The conditional autoregressive model (CAR) showed a direct association with rainfall for four months of the year, rain time lag in July, and Gini index in February. The results demonstrate the importance of socio-environmental variables in the dynamics of dengue transmission and the relevance for the development of dengue control strategies.Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz2011-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2011000300019Cadernos de Saúde Pública v.27 n.3 2011reponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZ10.1590/S0102-311X2011000300019info:eu-repo/semantics/openAccessTeixeira,Tatiana Rodrigues de AraujoCruz,Oswaldo Gonçalveseng2011-04-13T00:00:00Zoai:scielo:S0102-311X2011000300019Revistahttp://cadernos.ensp.fiocruz.br/csp/https://old.scielo.br/oai/scielo-oai.phpcadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2011-04-13T00:00Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.none.fl_str_mv |
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil |
title |
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil |
spellingShingle |
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil Teixeira,Tatiana Rodrigues de Araujo Dengue Ecological Studies Environmental Indicators Spatial Analysis |
title_short |
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil |
title_full |
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil |
title_fullStr |
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil |
title_full_unstemmed |
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil |
title_sort |
Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil |
author |
Teixeira,Tatiana Rodrigues de Araujo |
author_facet |
Teixeira,Tatiana Rodrigues de Araujo Cruz,Oswaldo Gonçalves |
author_role |
author |
author2 |
Cruz,Oswaldo Gonçalves |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Teixeira,Tatiana Rodrigues de Araujo Cruz,Oswaldo Gonçalves |
dc.subject.por.fl_str_mv |
Dengue Ecological Studies Environmental Indicators Spatial Analysis |
topic |
Dengue Ecological Studies Environmental Indicators Spatial Analysis |
description |
This study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables. The study analyzed reported dengue cases among the city's inhabitants, rainfall, Breteau index (for Aedes aegypti and Aedes albopictus), Gini index, and social development index. We conducted mapping and used the global Moran index to measure the indicators' spatial autocorrelation, which was positive for all variables. The generalized linear model showed a direct association between dengue incidence and rainfall, one-month rainfall time lag, Gini index, and Breteau index for A. albopictus. The conditional autoregressive model (CAR) showed a direct association with rainfall for four months of the year, rain time lag in July, and Gini index in February. The results demonstrate the importance of socio-environmental variables in the dynamics of dengue transmission and the relevance for the development of dengue control strategies. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2011000300019 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2011000300019 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0102-311X2011000300019 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz |
publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz |
dc.source.none.fl_str_mv |
Cadernos de Saúde Pública v.27 n.3 2011 reponame:Cadernos de Saúde Pública instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
instname_str |
Fundação Oswaldo Cruz (FIOCRUZ) |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
reponame_str |
Cadernos de Saúde Pública |
collection |
Cadernos de Saúde Pública |
repository.name.fl_str_mv |
Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ) |
repository.mail.fl_str_mv |
cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br |
_version_ |
1754115731129106432 |