Space and space-temporary clusters of tuberculosis in a Northeast Brazilian municipality
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
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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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) instname:Cesumar Diretoria de Pesquisa instacron:CESUMAR |
instname_str |
Cesumar Diretoria de Pesquisa |
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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1754122535461453824 |