Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality

Detalhes bibliográficos
Autor(a) principal: Silva, Janiel Conceiçâo da
Data de Publicação: 2021
Outros Autores: Santos, Livia Fernanda Siqueira, Santos, Floriacy Stabnow, Pascoal, Livia Maia, Dias, Ismália Cassandra Costa Maia, Costa, Ana Cristina Pereira de Jesus, Santos Neto, Marcelino
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Saúde e Pesquisa (Online)
Texto Completo: https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8493
Resumo: The objective was to detect spatial and spatiotemporal clusters of tuberculosis in a municipality in northeastern Brazil that is a priority for disease control. This is an ecological study, in which new cases of tuberculosis that occurred in Imperatriz (MA), between 2009 and 2018, were collected from the Notifiable Diseases Information System. Scanning statistics was used to detect the spatial and spatiotemporal clusters of the cases. Three spatial clusters of high relative risk (RR) were identified: cluster 1 (RR = 2.10), cluster 2 (RR = 2.20) and cluster 3 (RR = 2.70). The spatiotemporal analysis showed two spatiotemporal clusters of high relative risk, cluster 1 (RR = 2.80) that occurred between 01/01/2009 and 12/31/2013 and cluster 2 (RR = 3.40) occurring between 01/01/2009 and 12/31/2010. Such findings point to the need to elaborate procedures for combating and controlling risk areas, considering the evident socio-spatial inequalities present in the municipality under investigation.
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spelling Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipalityAglomerados espaciais e espaço-temporais de tuberculose em município do Nordeste BrasileiroGeographic information systemsNotifiable diseases information systemSpatial analysisTuberculosisAnálise espacialSistemas de informação geográficaSistema de informações de agravos de notificaçãoTuberculoseEpidemiologiaAnálise espacialTuberculoseThe objective was to detect spatial and spatiotemporal clusters of tuberculosis in a municipality in northeastern Brazil that is a priority for disease control. This is an ecological study, in which new cases of tuberculosis that occurred in Imperatriz (MA), between 2009 and 2018, were collected from the Notifiable Diseases Information System. Scanning statistics was used to detect the spatial and spatiotemporal clusters of the cases. Three spatial clusters of high relative risk (RR) were identified: cluster 1 (RR = 2.10), cluster 2 (RR = 2.20) and cluster 3 (RR = 2.70). The spatiotemporal analysis showed two spatiotemporal clusters of high relative risk, cluster 1 (RR = 2.80) that occurred between 01/01/2009 and 12/31/2013 and cluster 2 (RR = 3.40) occurring between 01/01/2009 and 12/31/2010. Such findings point to the need to elaborate procedures for combating and controlling risk areas, considering the evident socio-spatial inequalities present in the municipality under investigation.Objetivou-se detectar aglomerados espaciais e espaço-temporais de tuberculose em município do nordeste brasileiro prioritário para o controle da doença. Trata-se de um estudo ecológico, no qual foram considerados os casos novos de tuberculose ocorridos em Imperatriz (MA), entre 2009 e 2018, coletados juntos ao Sistema de Informação de Agravos de Notificação. Utilizou-se da técnica de estatística de varredura para a detecção dos aglomerados espaciais e espaço-temporais dos casos. Foram identificados três aglomerados espaciais de alto risco relativo (RR): aglomerado 1 (RR=2,10), aglomerado 2 (RR= 2,20) e aglomerado 3 (RR=2,70). A análise espaço-temporal evidenciou dois aglomerados de alto risco relativo, o aglomerado 1 (RR=2,80) que ocorreu entre 01/01/2009 a 31/12/2013 e o aglomerado 2 (RR= 3,40) com ocorrência entre 01/01/2009 a 31/12/2010. Tais achados apontam para a necessidade da elaboração de estratégias para o combate e controle nas áreas de risco, considerando as evidentes desigualdades socioespaciais presentes no município sob investigação. Universidade Cesumar - UniCesumar2021-06-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por ParesTextoinfo:eu-repo/semantics/otherapplication/pdfapplication/pdfhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/849310.17765/2176-9206.2021v14n3e8493Saúde e Pesquisa; Vol 14 No 3 (2021): jul./set. ; 555-566Saúde e Pesquisa; v. 14 n. 3 (2021): jul./set. ; 555-5662176-9206reponame:Saúde e Pesquisa (Online)instname:Cesumar Diretoria de Pesquisainstacron:CESUMARporenghttps://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8493/6661https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8493/6682Copyright (c) 2021 Saúde e Pesquisahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Janiel Conceiçâo daSantos, Livia Fernanda Siqueira Santos, Floriacy Stabnow Pascoal, Livia MaiaDias, Ismália Cassandra Costa MaiaCosta, Ana Cristina Pereira de JesusSantos Neto, Marcelino2022-07-20T12:17:46Zoai:ojs.pkp.sfu.ca:article/8493Revistahttps://periodicos.unicesumar.edu.br/index.php/saudpesqPUBhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/oainaep@cesumar.br2176-92061983-1870opendoar:2022-07-20T12:17:46Saúde e Pesquisa (Online) - Cesumar Diretoria de Pesquisafalse
dc.title.none.fl_str_mv Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
Aglomerados espaciais e espaço-temporais de tuberculose em município do Nordeste Brasileiro
title Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
spellingShingle Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
Silva, Janiel Conceiçâo da
Geographic information systems
Notifiable diseases information system
Spatial analysis
Tuberculosis
Análise espacial
Sistemas de informação geográfica
Sistema de informações de agravos de notificação
Tuberculose
Epidemiologia
Análise espacial
Tuberculose
title_short Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
title_full Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
title_fullStr Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
title_full_unstemmed Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
title_sort Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
author Silva, Janiel Conceiçâo da
author_facet Silva, Janiel Conceiçâo da
Santos, Livia Fernanda Siqueira
Santos, Floriacy Stabnow
Pascoal, Livia Maia
Dias, Ismália Cassandra Costa Maia
Costa, Ana Cristina Pereira de Jesus
Santos Neto, Marcelino
author_role author
author2 Santos, Livia Fernanda Siqueira
Santos, Floriacy Stabnow
Pascoal, Livia Maia
Dias, Ismália Cassandra Costa Maia
Costa, Ana Cristina Pereira de Jesus
Santos Neto, Marcelino
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Janiel Conceiçâo da
Santos, Livia Fernanda Siqueira
Santos, Floriacy Stabnow
Pascoal, Livia Maia
Dias, Ismália Cassandra Costa Maia
Costa, Ana Cristina Pereira de Jesus
Santos Neto, Marcelino
dc.subject.por.fl_str_mv Geographic information systems
Notifiable diseases information system
Spatial analysis
Tuberculosis
Análise espacial
Sistemas de informação geográfica
Sistema de informações de agravos de notificação
Tuberculose
Epidemiologia
Análise espacial
Tuberculose
topic Geographic information systems
Notifiable diseases information system
Spatial analysis
Tuberculosis
Análise espacial
Sistemas de informação geográfica
Sistema de informações de agravos de notificação
Tuberculose
Epidemiologia
Análise espacial
Tuberculose
description The objective was to detect spatial and spatiotemporal clusters of tuberculosis in a municipality in northeastern Brazil that is a priority for disease control. This is an ecological study, in which new cases of tuberculosis that occurred in Imperatriz (MA), between 2009 and 2018, were collected from the Notifiable Diseases Information System. Scanning statistics was used to detect the spatial and spatiotemporal clusters of the cases. Three spatial clusters of high relative risk (RR) were identified: cluster 1 (RR = 2.10), cluster 2 (RR = 2.20) and cluster 3 (RR = 2.70). The spatiotemporal analysis showed two spatiotemporal clusters of high relative risk, cluster 1 (RR = 2.80) that occurred between 01/01/2009 and 12/31/2013 and cluster 2 (RR = 3.40) occurring between 01/01/2009 and 12/31/2010. Such findings point to the need to elaborate procedures for combating and controlling risk areas, considering the evident socio-spatial inequalities present in the municipality under investigation.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-11
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por Pares
Texto
info:eu-repo/semantics/other
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8493
10.17765/2176-9206.2021v14n3e8493
url https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8493
identifier_str_mv 10.17765/2176-9206.2021v14n3e8493
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8493/6661
https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8493/6682
dc.rights.driver.fl_str_mv Copyright (c) 2021 Saúde e Pesquisa
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Saúde e Pesquisa
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Cesumar - UniCesumar
publisher.none.fl_str_mv Universidade Cesumar - UniCesumar
dc.source.none.fl_str_mv Saúde e Pesquisa; Vol 14 No 3 (2021): jul./set. ; 555-566
Saúde e Pesquisa; v. 14 n. 3 (2021): jul./set. ; 555-566
2176-9206
reponame:Saúde e Pesquisa (Online)
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instacron_str CESUMAR
institution CESUMAR
reponame_str Saúde e Pesquisa (Online)
collection Saúde e Pesquisa (Online)
repository.name.fl_str_mv Saúde e Pesquisa (Online) - Cesumar Diretoria de Pesquisa
repository.mail.fl_str_mv naep@cesumar.br
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