Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012

Detalhes bibliográficos
Autor(a) principal: Carvalho,Silvia
Data de Publicação: 2017
Outros Autores: Magalhães,Mônica de Avelar Figueiredo Mafra, Medronho,Roberto de Andrade
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100262
Resumo: ABSTRACT OBJECTIVE Analyze the spatial distribution of classical dengue and severe dengue cases in the city of Rio de Janeiro. METHODS Exploratory study, considering cases of classical dengue and severe dengue with laboratory confirmation of the infection in the city of Rio de Janeiro during the years 2011/2012. The georeferencing technique was applied for the cases notified in the Notification Increase Information System in the period of 2011 and 2012. For this process, the fields “street” and “number” were used. The ArcGis10 program’s Geocoding tool’s automatic process was performed. The spatial analysis was done through the kernel density estimator. RESULTS Kernel density pointed out hotspots for classic dengue that did not coincide geographically with severe dengue and were in or near favelas. The kernel ratio did not show a notable change in the spatial distribution pattern observed in the kernel density analysis. The georeferencing process showed a loss of 41% of classic dengue registries and 17% of severe dengue registries due to the address in the Notification Increase Information System form. CONCLUSIONS The hotspots near the favelas suggest that the social vulnerability of these localities can be an influencing factor for the occurrence of this aggravation since there is a deficiency of the supply and access to essential goods and services for the population. To reduce this vulnerability, interventions must be related to macroeconomic policies.
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spelling Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012Dengue, epidemiologySpatial AnalysisGeographic Information SystemsHealth Information SystemsABSTRACT OBJECTIVE Analyze the spatial distribution of classical dengue and severe dengue cases in the city of Rio de Janeiro. METHODS Exploratory study, considering cases of classical dengue and severe dengue with laboratory confirmation of the infection in the city of Rio de Janeiro during the years 2011/2012. The georeferencing technique was applied for the cases notified in the Notification Increase Information System in the period of 2011 and 2012. For this process, the fields “street” and “number” were used. The ArcGis10 program’s Geocoding tool’s automatic process was performed. The spatial analysis was done through the kernel density estimator. RESULTS Kernel density pointed out hotspots for classic dengue that did not coincide geographically with severe dengue and were in or near favelas. The kernel ratio did not show a notable change in the spatial distribution pattern observed in the kernel density analysis. The georeferencing process showed a loss of 41% of classic dengue registries and 17% of severe dengue registries due to the address in the Notification Increase Information System form. CONCLUSIONS The hotspots near the favelas suggest that the social vulnerability of these localities can be an influencing factor for the occurrence of this aggravation since there is a deficiency of the supply and access to essential goods and services for the population. To reduce this vulnerability, interventions must be related to macroeconomic policies.Faculdade de Saúde Pública da Universidade de São Paulo2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100262Revista de Saúde Pública v.51 2017reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.11606/s1518-8787.2017051006239info:eu-repo/semantics/openAccessCarvalho,SilviaMagalhães,Mônica de Avelar Figueiredo MafraMedronho,Roberto de Andradeeng2017-08-15T00:00:00Zoai:scielo:S0034-89102017000100262Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2017-08-15T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
spellingShingle Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
Carvalho,Silvia
Dengue, epidemiology
Spatial Analysis
Geographic Information Systems
Health Information Systems
title_short Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_full Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_fullStr Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_full_unstemmed Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
title_sort Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012
author Carvalho,Silvia
author_facet Carvalho,Silvia
Magalhães,Mônica de Avelar Figueiredo Mafra
Medronho,Roberto de Andrade
author_role author
author2 Magalhães,Mônica de Avelar Figueiredo Mafra
Medronho,Roberto de Andrade
author2_role author
author
dc.contributor.author.fl_str_mv Carvalho,Silvia
Magalhães,Mônica de Avelar Figueiredo Mafra
Medronho,Roberto de Andrade
dc.subject.por.fl_str_mv Dengue, epidemiology
Spatial Analysis
Geographic Information Systems
Health Information Systems
topic Dengue, epidemiology
Spatial Analysis
Geographic Information Systems
Health Information Systems
description ABSTRACT OBJECTIVE Analyze the spatial distribution of classical dengue and severe dengue cases in the city of Rio de Janeiro. METHODS Exploratory study, considering cases of classical dengue and severe dengue with laboratory confirmation of the infection in the city of Rio de Janeiro during the years 2011/2012. The georeferencing technique was applied for the cases notified in the Notification Increase Information System in the period of 2011 and 2012. For this process, the fields “street” and “number” were used. The ArcGis10 program’s Geocoding tool’s automatic process was performed. The spatial analysis was done through the kernel density estimator. RESULTS Kernel density pointed out hotspots for classic dengue that did not coincide geographically with severe dengue and were in or near favelas. The kernel ratio did not show a notable change in the spatial distribution pattern observed in the kernel density analysis. The georeferencing process showed a loss of 41% of classic dengue registries and 17% of severe dengue registries due to the address in the Notification Increase Information System form. CONCLUSIONS The hotspots near the favelas suggest that the social vulnerability of these localities can be an influencing factor for the occurrence of this aggravation since there is a deficiency of the supply and access to essential goods and services for the population. To reduce this vulnerability, interventions must be related to macroeconomic policies.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
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=S0034-89102017000100262
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000100262
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.11606/s1518-8787.2017051006239
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 Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.51 2017
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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