Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control

Detalhes bibliográficos
Autor(a) principal: Lopes,Fernanda de Castro
Data de Publicação: 2021
Outros Autores: 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
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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spelling 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
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