Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
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=S0034-71672021000200169 |
Resumo: | ABSTRACT Objectives: to identify risk clusters for the occurrence of tuberculosis and its treatment outcomes. Methods: ecological study, in a city in Maranhão, using data from the Notifiable Diseases Information System. Point density analysis and isotonic scanning techniques were used to identify areas with the highest occurrence of treatment outcomes and identify risk areas for possible tuberculosis cases. Results: most tuberculosis cases occurred in the male, adult, brown-skinned population. Also, most of the reported cases were classified as pulmonary and as new cases that progressed to a cure. The areas with the highest density of cure, death and abandonment are located in the central region of the city. Conclusions: the central region of the urban area of the city, with high demographic density and poor sanitary and socioeconomic conditions, presented a greater cluster of tuberculosis cases. |
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Spatial analysis of risk areas for the development of tuberculosis and treatment outcomesTuberculosisEcological ParameterSpatial AnalysisRisk FactorsNursingABSTRACT Objectives: to identify risk clusters for the occurrence of tuberculosis and its treatment outcomes. Methods: ecological study, in a city in Maranhão, using data from the Notifiable Diseases Information System. Point density analysis and isotonic scanning techniques were used to identify areas with the highest occurrence of treatment outcomes and identify risk areas for possible tuberculosis cases. Results: most tuberculosis cases occurred in the male, adult, brown-skinned population. Also, most of the reported cases were classified as pulmonary and as new cases that progressed to a cure. The areas with the highest density of cure, death and abandonment are located in the central region of the city. Conclusions: the central region of the urban area of the city, with high demographic density and poor sanitary and socioeconomic conditions, presented a greater cluster of tuberculosis cases.Associação Brasileira de Enfermagem2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672021000200169Revista Brasileira de Enfermagem v.74 n.2 2021reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2020-0564info:eu-repo/semantics/openAccessAndrade,Hamilton Leandro Pinto deRamos,Antônio Carlos VieiraCrispim,Juliane de AlmeidaSantos Neto,MarcelinoArroyo,Luiz HenriqueArcêncio,Ricardo Alexandreeng2021-05-26T00:00:00Zoai:scielo:S0034-71672021000200169Revistahttp://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:2021-05-26T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false |
dc.title.none.fl_str_mv |
Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes |
title |
Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes |
spellingShingle |
Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes Andrade,Hamilton Leandro Pinto de Tuberculosis Ecological Parameter Spatial Analysis Risk Factors Nursing |
title_short |
Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes |
title_full |
Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes |
title_fullStr |
Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes |
title_full_unstemmed |
Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes |
title_sort |
Spatial analysis of risk areas for the development of tuberculosis and treatment outcomes |
author |
Andrade,Hamilton Leandro Pinto de |
author_facet |
Andrade,Hamilton Leandro Pinto de Ramos,Antônio Carlos Vieira Crispim,Juliane de Almeida Santos Neto,Marcelino Arroyo,Luiz Henrique Arcêncio,Ricardo Alexandre |
author_role |
author |
author2 |
Ramos,Antônio Carlos Vieira Crispim,Juliane de Almeida Santos Neto,Marcelino Arroyo,Luiz Henrique Arcêncio,Ricardo Alexandre |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Andrade,Hamilton Leandro Pinto de Ramos,Antônio Carlos Vieira Crispim,Juliane de Almeida Santos Neto,Marcelino Arroyo,Luiz Henrique Arcêncio,Ricardo Alexandre |
dc.subject.por.fl_str_mv |
Tuberculosis Ecological Parameter Spatial Analysis Risk Factors Nursing |
topic |
Tuberculosis Ecological Parameter Spatial Analysis Risk Factors Nursing |
description |
ABSTRACT Objectives: to identify risk clusters for the occurrence of tuberculosis and its treatment outcomes. Methods: ecological study, in a city in Maranhão, using data from the Notifiable Diseases Information System. Point density analysis and isotonic scanning techniques were used to identify areas with the highest occurrence of treatment outcomes and identify risk areas for possible tuberculosis cases. Results: most tuberculosis cases occurred in the male, adult, brown-skinned population. Also, most of the reported cases were classified as pulmonary and as new cases that progressed to a cure. The areas with the highest density of cure, death and abandonment are located in the central region of the city. Conclusions: the central region of the urban area of the city, with high demographic density and poor sanitary and socioeconomic conditions, presented a greater cluster of tuberculosis cases. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
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=S0034-71672021000200169 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672021000200169 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-7167-2020-0564 |
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.74 n.2 2021 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 |
_version_ |
1754303039455363072 |