Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
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=S1415-790X2019000200404 |
Resumo: | ABSTRACT Objective: To analyze the pattern of spatial distribution of hepatitis B virus (HBV) cases and the mortality attributed to this disease throughout the Brazilian territory, in 2005, 2016 and 2017. Methods: This is an ecological study of spatial analysis, using data from the Information System for Notifiable Diseases and the Brazilian Mortality Information System. HBV detection and mortality rates were analyzed. The spatial analysis from 2005 to 2017 was held through the Global Moran’s Index (I) for global data and the Local Indicators of Spatial Association (LISA) for the 5,564 municipalities of the country. Results: The North region stands out with the highest HBV detection and mortality rates in the country. The Global Moran’s I showed a spatial correlation of HBV cases in Brazil, and the LISA Map evidenced the presence of hotspots or spatial clusters (high-high type), mainly in the North region and also in some municipalities of Santa Catarina, Paraná, Rio Grande do Sul, Espírito Santo, São Paulo and Rio de Janeiro. Conclusion: The spatial analysis of the HBV distribution pattern in Brazil shows areas with a large concentration of cases, particularly in the North of the country and in other points distributed throughout the national territory. These data reinforce the urgency of intervention actions related to prevention, diagnosis and treatment of hepatitis B. |
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Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017Hepatitis BDetectionSpatial analysisEcological studiesEpidemiologyABSTRACT Objective: To analyze the pattern of spatial distribution of hepatitis B virus (HBV) cases and the mortality attributed to this disease throughout the Brazilian territory, in 2005, 2016 and 2017. Methods: This is an ecological study of spatial analysis, using data from the Information System for Notifiable Diseases and the Brazilian Mortality Information System. HBV detection and mortality rates were analyzed. The spatial analysis from 2005 to 2017 was held through the Global Moran’s Index (I) for global data and the Local Indicators of Spatial Association (LISA) for the 5,564 municipalities of the country. Results: The North region stands out with the highest HBV detection and mortality rates in the country. The Global Moran’s I showed a spatial correlation of HBV cases in Brazil, and the LISA Map evidenced the presence of hotspots or spatial clusters (high-high type), mainly in the North region and also in some municipalities of Santa Catarina, Paraná, Rio Grande do Sul, Espírito Santo, São Paulo and Rio de Janeiro. Conclusion: The spatial analysis of the HBV distribution pattern in Brazil shows areas with a large concentration of cases, particularly in the North of the country and in other points distributed throughout the national territory. These data reinforce the urgency of intervention actions related to prevention, diagnosis and treatment of hepatitis B.Associação Brasileira de Saúde Coletiva2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000200404Revista Brasileira de Epidemiologia v.22 suppl.1 2019reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-549720190007.supl.1info:eu-repo/semantics/openAccessVivaldini,Simone MonzaniPinto,Flavia Kelli AlvarengaKohiyama,Igor MassakiAlmeida,Elton Carlos deMendes-Correa,Maria CássiaSantos,Alexandre FonsecaRibeiro,Rachel AbrahãoPereira,Gerson Fernando MendesAraújo,Wildo Navegantes deeng2019-09-23T00:00:00Zoai:scielo:S1415-790X2019000200404Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2019-09-23T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false |
dc.title.none.fl_str_mv |
Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017 |
title |
Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017 |
spellingShingle |
Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017 Vivaldini,Simone Monzani Hepatitis B Detection Spatial analysis Ecological studies Epidemiology |
title_short |
Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017 |
title_full |
Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017 |
title_fullStr |
Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017 |
title_full_unstemmed |
Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017 |
title_sort |
Exploratory spatial analysis of HBV cases in Brazil between 2005 and 2017 |
author |
Vivaldini,Simone Monzani |
author_facet |
Vivaldini,Simone Monzani Pinto,Flavia Kelli Alvarenga Kohiyama,Igor Massaki Almeida,Elton Carlos de Mendes-Correa,Maria Cássia Santos,Alexandre Fonseca Ribeiro,Rachel Abrahão Pereira,Gerson Fernando Mendes Araújo,Wildo Navegantes de |
author_role |
author |
author2 |
Pinto,Flavia Kelli Alvarenga Kohiyama,Igor Massaki Almeida,Elton Carlos de Mendes-Correa,Maria Cássia Santos,Alexandre Fonseca Ribeiro,Rachel Abrahão Pereira,Gerson Fernando Mendes Araújo,Wildo Navegantes de |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Vivaldini,Simone Monzani Pinto,Flavia Kelli Alvarenga Kohiyama,Igor Massaki Almeida,Elton Carlos de Mendes-Correa,Maria Cássia Santos,Alexandre Fonseca Ribeiro,Rachel Abrahão Pereira,Gerson Fernando Mendes Araújo,Wildo Navegantes de |
dc.subject.por.fl_str_mv |
Hepatitis B Detection Spatial analysis Ecological studies Epidemiology |
topic |
Hepatitis B Detection Spatial analysis Ecological studies Epidemiology |
description |
ABSTRACT Objective: To analyze the pattern of spatial distribution of hepatitis B virus (HBV) cases and the mortality attributed to this disease throughout the Brazilian territory, in 2005, 2016 and 2017. Methods: This is an ecological study of spatial analysis, using data from the Information System for Notifiable Diseases and the Brazilian Mortality Information System. HBV detection and mortality rates were analyzed. The spatial analysis from 2005 to 2017 was held through the Global Moran’s Index (I) for global data and the Local Indicators of Spatial Association (LISA) for the 5,564 municipalities of the country. Results: The North region stands out with the highest HBV detection and mortality rates in the country. The Global Moran’s I showed a spatial correlation of HBV cases in Brazil, and the LISA Map evidenced the presence of hotspots or spatial clusters (high-high type), mainly in the North region and also in some municipalities of Santa Catarina, Paraná, Rio Grande do Sul, Espírito Santo, São Paulo and Rio de Janeiro. Conclusion: The spatial analysis of the HBV distribution pattern in Brazil shows areas with a large concentration of cases, particularly in the North of the country and in other points distributed throughout the national territory. These data reinforce the urgency of intervention actions related to prevention, diagnosis and treatment of hepatitis B. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
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=S1415-790X2019000200404 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000200404 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-549720190007.supl.1 |
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.22 suppl.1 2019 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 |
_version_ |
1754212955897987072 |