Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System

Detalhes bibliográficos
Autor(a) principal: Bessa Júnior,Francisco Narcísio
Data de Publicação: 2013
Outros Autores: Nunes,Renan Flávio de França, Souza,Marcos Antonio de, Medeiros,Antônio Carlos de, Marinho,Maria Jocileide de Medeiros, Pereira,Wogelsanger Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de epidemiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2013000300603
Resumo: The dengue viral infection is one of the most relevant vector-borne diseases in the world. The disease can manifest in a variety of forms, from asymptomatic to a condition of dengue hemorrhagic fever (DHF). The last reported cases in Brazil correspond to 80% of the cases reported in the Americas, which emphasizes the magnitude of the problem. This study was conducted using Geographic Information System (GIS) techniques, in order to evaluate the spatial distribution of the disease in the urban area of Mossoró, Rio Grande do Norte. In the period between 2001 and 2007, 867 new cases were listed. About 85.7% of the addresses were georeferenced, with a larger number of cases, 14.8%, in the neighborhoods of Santo Antônio and Santa Delmira (north region), and 11.7% in the neighborhoods of Conjunto Vingt-Rosado and Alto de São Manoel (east region). There were 18 confirmed cases of dengue hemorrhagic fever associated with regions with the highest incidence of classic cases of the disease. The use of Geographic Information System (GIS) proved a great benefit for better visualization of the endemic, especially in elucidating the actual distribution of dengue cases in the county and providing an effective tool for planning the monitoring of the disease at a local level.
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spelling Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information SystemSpatial AnalysisEpidemiologyDengueDengue hemorrhagic feverThe dengue viral infection is one of the most relevant vector-borne diseases in the world. The disease can manifest in a variety of forms, from asymptomatic to a condition of dengue hemorrhagic fever (DHF). The last reported cases in Brazil correspond to 80% of the cases reported in the Americas, which emphasizes the magnitude of the problem. This study was conducted using Geographic Information System (GIS) techniques, in order to evaluate the spatial distribution of the disease in the urban area of Mossoró, Rio Grande do Norte. In the period between 2001 and 2007, 867 new cases were listed. About 85.7% of the addresses were georeferenced, with a larger number of cases, 14.8%, in the neighborhoods of Santo Antônio and Santa Delmira (north region), and 11.7% in the neighborhoods of Conjunto Vingt-Rosado and Alto de São Manoel (east region). There were 18 confirmed cases of dengue hemorrhagic fever associated with regions with the highest incidence of classic cases of the disease. The use of Geographic Information System (GIS) proved a great benefit for better visualization of the endemic, especially in elucidating the actual distribution of dengue cases in the county and providing an effective tool for planning the monitoring of the disease at a local level.Associação Brasileira de Saúde Coletiva2013-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2013000300603Revista Brasileira de Epidemiologia v.16 n.3 2013reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/S1415-790X2013000300005info:eu-repo/semantics/openAccessBessa Júnior,Francisco NarcísioNunes,Renan Flávio de FrançaSouza,Marcos Antonio deMedeiros,Antônio Carlos deMarinho,Maria Jocileide de MedeirosPereira,Wogelsanger Oliveiraeng2015-07-27T00:00:00Zoai:scielo:S1415-790X2013000300603Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2015-07-27T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System
title Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System
spellingShingle Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System
Bessa Júnior,Francisco Narcísio
Spatial Analysis
Epidemiology
Dengue
Dengue hemorrhagic fever
title_short Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System
title_full Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System
title_fullStr Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System
title_full_unstemmed Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System
title_sort Spatial distribution of dengue disease in municipality of Mossoró, Rio Grande do Norte, using the Geographic Information System
author Bessa Júnior,Francisco Narcísio
author_facet Bessa Júnior,Francisco Narcísio
Nunes,Renan Flávio de França
Souza,Marcos Antonio de
Medeiros,Antônio Carlos de
Marinho,Maria Jocileide de Medeiros
Pereira,Wogelsanger Oliveira
author_role author
author2 Nunes,Renan Flávio de França
Souza,Marcos Antonio de
Medeiros,Antônio Carlos de
Marinho,Maria Jocileide de Medeiros
Pereira,Wogelsanger Oliveira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Bessa Júnior,Francisco Narcísio
Nunes,Renan Flávio de França
Souza,Marcos Antonio de
Medeiros,Antônio Carlos de
Marinho,Maria Jocileide de Medeiros
Pereira,Wogelsanger Oliveira
dc.subject.por.fl_str_mv Spatial Analysis
Epidemiology
Dengue
Dengue hemorrhagic fever
topic Spatial Analysis
Epidemiology
Dengue
Dengue hemorrhagic fever
description The dengue viral infection is one of the most relevant vector-borne diseases in the world. The disease can manifest in a variety of forms, from asymptomatic to a condition of dengue hemorrhagic fever (DHF). The last reported cases in Brazil correspond to 80% of the cases reported in the Americas, which emphasizes the magnitude of the problem. This study was conducted using Geographic Information System (GIS) techniques, in order to evaluate the spatial distribution of the disease in the urban area of Mossoró, Rio Grande do Norte. In the period between 2001 and 2007, 867 new cases were listed. About 85.7% of the addresses were georeferenced, with a larger number of cases, 14.8%, in the neighborhoods of Santo Antônio and Santa Delmira (north region), and 11.7% in the neighborhoods of Conjunto Vingt-Rosado and Alto de São Manoel (east region). There were 18 confirmed cases of dengue hemorrhagic fever associated with regions with the highest incidence of classic cases of the disease. The use of Geographic Information System (GIS) proved a great benefit for better visualization of the endemic, especially in elucidating the actual distribution of dengue cases in the county and providing an effective tool for planning the monitoring of the disease at a local level.
publishDate 2013
dc.date.none.fl_str_mv 2013-09-01
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=S1415-790X2013000300603
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2013000300603
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-790X2013000300005
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 Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Revista Brasileira de Epidemiologia v.16 n.3 2013
reponame:Revista brasileira de epidemiologia (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO
instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron_str ABRASCO
institution ABRASCO
reponame_str Revista brasileira de epidemiologia (Online)
collection Revista brasileira de epidemiologia (Online)
repository.name.fl_str_mv Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||revbrepi@usp.br
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