Spatial analysis on tuberculosis and the network of primary health care

Detalhes bibliográficos
Autor(a) principal: Leal,Beatriz do Nascimento
Data de Publicação: 2019
Outros Autores: Mesquita,Cristal Ribeiro, Nogueira,Laura Maria Vidal, Rodrigues,Ivaneide Leal Ataide, Oliveira,Lívia Félix de, Caldas,Rosinelle Janayna Coelho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Enfermagem (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000501197
Resumo: ABSTRACT Objective: to analyze the spatial distribution of new cases of tuberculosis compared to the location of the Primary Healthcare Units that performed the compulsory notification. Method: ecological study conducted in Belém, Pará, with 5,294 new cases of tuberculosis notified to Sistema de Informação de Agravos de Notificação for the period from 2010 to 2014. The cases were georeferenced using the software applications ArcGis 10.2 and TerraView 4.2.2. The techniques of Kernel density and global Moran geostatistics were used. Results: the incidence of tuberculosis cases did not vary significantly between the years studied, however there was a variation in incidence between neighborhoods. Health units that exhibited higher number of notifications can suffer great influence of migration from nearby neighborhoods. Conclusion: the spatial dynamics of tuberculosis associated with health services allows to know the areas with increased risk of tuberculosis and the density of notifications of health units.
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spelling Spatial analysis on tuberculosis and the network of primary health careTuberculosisSpatial AnalysisPrimary Health CarePublic HealthNursingABSTRACT Objective: to analyze the spatial distribution of new cases of tuberculosis compared to the location of the Primary Healthcare Units that performed the compulsory notification. Method: ecological study conducted in Belém, Pará, with 5,294 new cases of tuberculosis notified to Sistema de Informação de Agravos de Notificação for the period from 2010 to 2014. The cases were georeferenced using the software applications ArcGis 10.2 and TerraView 4.2.2. The techniques of Kernel density and global Moran geostatistics were used. Results: the incidence of tuberculosis cases did not vary significantly between the years studied, however there was a variation in incidence between neighborhoods. Health units that exhibited higher number of notifications can suffer great influence of migration from nearby neighborhoods. Conclusion: the spatial dynamics of tuberculosis associated with health services allows to know the areas with increased risk of tuberculosis and the density of notifications of health units.Associação Brasileira de Enfermagem2019-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000501197Revista Brasileira de Enfermagem v.72 n.5 2019reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2017-0897info:eu-repo/semantics/openAccessLeal,Beatriz do NascimentoMesquita,Cristal RibeiroNogueira,Laura Maria VidalRodrigues,Ivaneide Leal AtaideOliveira,Lívia Félix deCaldas,Rosinelle Janayna Coelhoeng2019-12-10T00:00:00Zoai:scielo:S0034-71672019000501197Revistahttp://www.scielo.br/rebenhttps://old.scielo.br/oai/scielo-oai.phpreben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br1984-04460034-7167opendoar:2019-12-10T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false
dc.title.none.fl_str_mv Spatial analysis on tuberculosis and the network of primary health care
title Spatial analysis on tuberculosis and the network of primary health care
spellingShingle Spatial analysis on tuberculosis and the network of primary health care
Leal,Beatriz do Nascimento
Tuberculosis
Spatial Analysis
Primary Health Care
Public Health
Nursing
title_short Spatial analysis on tuberculosis and the network of primary health care
title_full Spatial analysis on tuberculosis and the network of primary health care
title_fullStr Spatial analysis on tuberculosis and the network of primary health care
title_full_unstemmed Spatial analysis on tuberculosis and the network of primary health care
title_sort Spatial analysis on tuberculosis and the network of primary health care
author Leal,Beatriz do Nascimento
author_facet Leal,Beatriz do Nascimento
Mesquita,Cristal Ribeiro
Nogueira,Laura Maria Vidal
Rodrigues,Ivaneide Leal Ataide
Oliveira,Lívia Félix de
Caldas,Rosinelle Janayna Coelho
author_role author
author2 Mesquita,Cristal Ribeiro
Nogueira,Laura Maria Vidal
Rodrigues,Ivaneide Leal Ataide
Oliveira,Lívia Félix de
Caldas,Rosinelle Janayna Coelho
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Leal,Beatriz do Nascimento
Mesquita,Cristal Ribeiro
Nogueira,Laura Maria Vidal
Rodrigues,Ivaneide Leal Ataide
Oliveira,Lívia Félix de
Caldas,Rosinelle Janayna Coelho
dc.subject.por.fl_str_mv Tuberculosis
Spatial Analysis
Primary Health Care
Public Health
Nursing
topic Tuberculosis
Spatial Analysis
Primary Health Care
Public Health
Nursing
description ABSTRACT Objective: to analyze the spatial distribution of new cases of tuberculosis compared to the location of the Primary Healthcare Units that performed the compulsory notification. Method: ecological study conducted in Belém, Pará, with 5,294 new cases of tuberculosis notified to Sistema de Informação de Agravos de Notificação for the period from 2010 to 2014. The cases were georeferenced using the software applications ArcGis 10.2 and TerraView 4.2.2. The techniques of Kernel density and global Moran geostatistics were used. Results: the incidence of tuberculosis cases did not vary significantly between the years studied, however there was a variation in incidence between neighborhoods. Health units that exhibited higher number of notifications can suffer great influence of migration from nearby neighborhoods. Conclusion: the spatial dynamics of tuberculosis associated with health services allows to know the areas with increased risk of tuberculosis and the density of notifications of health units.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-01
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=S0034-71672019000501197
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672019000501197
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0034-7167-2017-0897
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 Enfermagem
publisher.none.fl_str_mv Associação Brasileira de Enfermagem
dc.source.none.fl_str_mv Revista Brasileira de Enfermagem v.72 n.5 2019
reponame:Revista Brasileira de Enfermagem (Online)
instname:Associação Brasileira de Enfermagem (ABEN)
instacron:ABEN
instname_str Associação Brasileira de Enfermagem (ABEN)
instacron_str ABEN
institution ABEN
reponame_str Revista Brasileira de Enfermagem (Online)
collection Revista Brasileira de Enfermagem (Online)
repository.name.fl_str_mv Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)
repository.mail.fl_str_mv reben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br
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