Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control
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=S0034-71672021000300162 |
Resumo: | ABSTRACT Objectives: to analyze the spatial-temporal distribution of leprosy in a priority municipality for leprosy control. Methods: ecological study, conducted in a city in the Northeast of Brazil, whose analysis units were census sectors. The study used compulsory notification data for cases registered between 2008 and 2017. TerraView software and the Batch Geocode tool was used for geocoding. The detection of spatial-temporal agglomerations of high relative risks was done by scanning statistics. Results: the spatial-temporal distribution of cases was heterogeneous, creating four agglomerations of high relative risks in the urban area of the municipality between the years 2008 and 2012; and annual prevalence rates classified from high to hyperendemic. Conclusions: areas of higher risk and concentration of the disease in space-time were linked to the characteristics of high population density and social vulnerability of these spaces, raising the prioritization of health professionals’ actions, systems, and services for control, and monitoring the disease. |
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Revista Brasileira de Enfermagem (Online) |
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Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease controlLeprosySpatial-Temporal AnalysisGeographic Information SystemsHealth Information SystemsResidence CharacteristicsABSTRACT Objectives: to analyze the spatial-temporal distribution of leprosy in a priority municipality for leprosy control. Methods: ecological study, conducted in a city in the Northeast of Brazil, whose analysis units were census sectors. The study used compulsory notification data for cases registered between 2008 and 2017. TerraView software and the Batch Geocode tool was used for geocoding. The detection of spatial-temporal agglomerations of high relative risks was done by scanning statistics. Results: the spatial-temporal distribution of cases was heterogeneous, creating four agglomerations of high relative risks in the urban area of the municipality between the years 2008 and 2012; and annual prevalence rates classified from high to hyperendemic. Conclusions: areas of higher risk and concentration of the disease in space-time were linked to the characteristics of high population density and social vulnerability of these spaces, raising the prioritization of health professionals’ actions, systems, and services for control, and monitoring the disease.Associação Brasileira de Enfermagem2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672021000300162Revista Brasileira de Enfermagem v.74 n.3 2021reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2020-1101info:eu-repo/semantics/openAccessLopes,Fernanda de CastroSousa,Giana Gislanne da Silva deSilva,Weslei Melo daCosta,Ana Cristina Pereira de JesusSantos,Floriacy StabnowPascoal,Lívia MaiaSantos Neto,Marcelinoeng2021-06-14T00:00:00Zoai:scielo:S0034-71672021000300162Revistahttp://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:2021-06-14T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false |
dc.title.none.fl_str_mv |
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control |
title |
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control |
spellingShingle |
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control Lopes,Fernanda de Castro Leprosy Spatial-Temporal Analysis Geographic Information Systems Health Information Systems Residence Characteristics |
title_short |
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control |
title_full |
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control |
title_fullStr |
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control |
title_full_unstemmed |
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control |
title_sort |
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control |
author |
Lopes,Fernanda de Castro |
author_facet |
Lopes,Fernanda de Castro Sousa,Giana Gislanne da Silva de Silva,Weslei Melo da Costa,Ana Cristina Pereira de Jesus Santos,Floriacy Stabnow Pascoal,Lívia Maia Santos Neto,Marcelino |
author_role |
author |
author2 |
Sousa,Giana Gislanne da Silva de Silva,Weslei Melo da Costa,Ana Cristina Pereira de Jesus Santos,Floriacy Stabnow Pascoal,Lívia Maia Santos Neto,Marcelino |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Lopes,Fernanda de Castro Sousa,Giana Gislanne da Silva de Silva,Weslei Melo da Costa,Ana Cristina Pereira de Jesus Santos,Floriacy Stabnow Pascoal,Lívia Maia Santos Neto,Marcelino |
dc.subject.por.fl_str_mv |
Leprosy Spatial-Temporal Analysis Geographic Information Systems Health Information Systems Residence Characteristics |
topic |
Leprosy Spatial-Temporal Analysis Geographic Information Systems Health Information Systems Residence Characteristics |
description |
ABSTRACT Objectives: to analyze the spatial-temporal distribution of leprosy in a priority municipality for leprosy control. Methods: ecological study, conducted in a city in the Northeast of Brazil, whose analysis units were census sectors. The study used compulsory notification data for cases registered between 2008 and 2017. TerraView software and the Batch Geocode tool was used for geocoding. The detection of spatial-temporal agglomerations of high relative risks was done by scanning statistics. Results: the spatial-temporal distribution of cases was heterogeneous, creating four agglomerations of high relative risks in the urban area of the municipality between the years 2008 and 2012; and annual prevalence rates classified from high to hyperendemic. Conclusions: areas of higher risk and concentration of the disease in space-time were linked to the characteristics of high population density and social vulnerability of these spaces, raising the prioritization of health professionals’ actions, systems, and services for control, and monitoring the disease. |
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=S0034-71672021000300162 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672021000300162 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-7167-2020-1101 |
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.3 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_ |
1754303039759450112 |