Temporal study of arboviroses: A space analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/16220 |
Resumo: | The objective of the study is to analyze spatially the temporal distribution of the reported cases of Arboviroses in the 167 municipalities of Rio Grande do Norte, in the last 10 years. This is a quantitative, ecological, descriptive, cross-sectional study, analyzing spatially the Arboviroses Dengue, Zika and Chikungunya. Secondary data were available in the SUS-DATASUS Computing Program, and data provided by the Public Health Secretariat of Rio Grande do Norte-SESAP. The research was composed of the reported cases of Arbovirosis in the population of Rio Grande do Norte from 2007 to 2016. The data were tabulated in the Excel version 2013 program and later migrated to organization and statistical analysis in the SPSS version 22 program. Spatialization was performed in the TABWIN version 32 program. Dengue presents the highest Arbovirose in 2016, with the highest number of notifications in the seventh state health region, and a rapid spread of Zika and Chikungunya in the last three years. In the spatial analysis, the distribution is differentiated depending on the prevalence rate of Arbovirose, with Dengue and Chikungunya highlighting municipalities in the region of Seridó (fourth region) and Zika in Trairi, more precisely in the fifth region. It is concluded that greater evaluations by epidemiological surveillance are necessary in the regions with the highest prevalence of Arbovirosis in the State, in order to strengthen and redirect policies to control these diseases and with that, to draw up better preventive and educational strategies directed to these diseases. |
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Temporal study of arboviroses: A space analysisEstudio temporal de las arboles: Un análisis espacialEstudo temporal das arboviroses: Uma análise espacialInfecções por ArbovirosesAnálise EspacialVigilância epidemiológica.Infecciones por ArbovirosisAnálisis EspacialVigilancia epidemiológica.Arbovirus InfectionsSpatial AnalysisEpidemiological surveillance.The objective of the study is to analyze spatially the temporal distribution of the reported cases of Arboviroses in the 167 municipalities of Rio Grande do Norte, in the last 10 years. This is a quantitative, ecological, descriptive, cross-sectional study, analyzing spatially the Arboviroses Dengue, Zika and Chikungunya. Secondary data were available in the SUS-DATASUS Computing Program, and data provided by the Public Health Secretariat of Rio Grande do Norte-SESAP. The research was composed of the reported cases of Arbovirosis in the population of Rio Grande do Norte from 2007 to 2016. The data were tabulated in the Excel version 2013 program and later migrated to organization and statistical analysis in the SPSS version 22 program. Spatialization was performed in the TABWIN version 32 program. Dengue presents the highest Arbovirose in 2016, with the highest number of notifications in the seventh state health region, and a rapid spread of Zika and Chikungunya in the last three years. In the spatial analysis, the distribution is differentiated depending on the prevalence rate of Arbovirose, with Dengue and Chikungunya highlighting municipalities in the region of Seridó (fourth region) and Zika in Trairi, more precisely in the fifth region. It is concluded that greater evaluations by epidemiological surveillance are necessary in the regions with the highest prevalence of Arbovirosis in the State, in order to strengthen and redirect policies to control these diseases and with that, to draw up better preventive and educational strategies directed to these diseases.El objetivo del estudio es analizar espacialmente la distribución temporal de los casos notificados de las Arbovirosis en los 167 municipios de Rio Grande do Norte, en los últimos 10 años. Se trata de un estudio cuantitativo, ecológico, descriptivo, transversal, analizando espacialmente las Arbovirosis Dengue, Zika y Chikungunya. Se utilizaron datos secundarios disponibles en el Programa de Informática del SUS-DATASUS, y datos disponibilizados por la secretaría de salud Pública de Rio Grande do Norte-SESAP. La encuesta fue compuesta por los casos notificados de las Arbovirosis en la población de Rio Grande do Norte, entre los años 2007 a 2016. Los datos fueron tabulados en el programa Excel versión 2013, siendo migrados posteriormente para organización y análisis estadístico en el programa SPSS versión 22. La espacialización se realizó en el programa TABWIN versión 32. El Dengue se presenta a Arbovirosa con mayor promedio en 2016, con mayor número de notificaciones en la séptima región de salud del Estado, y una rápida diseminación de Zika y Chikungunya en los últimos tres años. En el análisis espacial, la distribución se presenta diferenciada, dependiendo de la tasa de prevalencia de la Arbovirosa, siendo la Dengue y la Chikungunya destacando municipios en la región del Seridó (cuarta región) y la Zika en el Trairi, más precisamente en la quinta región. Se concluye que son necesarias mayores evaluaciones por la vigilancia epidemiológica en las regiones de mayores prevalencias de las Arbovirosis en el Estado, con el fin del fortalecimiento y redireccionamiento de las políticas de control de estas enfermedades y con ello, trazar mejores estrategias preventivas y educativas dirigidas a estos agravios.O objetivo do estudo é analisar espacialmente a distribuição temporal dos casos notificados das Arboviroses nos 167 municípios do Rio Grande do Norte, nos últimos 10 anos. Trata-se de um estudo quantitativo, ecológico, descritivo, analisando espacialmente as Arboviroses Dengue, Zika e Chikungunya. Utilizou-se dados secundários disponíveis no Departamento de Informática do Sistema Único de Saúde-DATASUS, e dados disponibilizados pela Secretaria de Estado de Saúde Pública do Rio Grande do Norte-SESAP. A pesquisa foi composta pelos casos notificados das Arboviroses na população do Rio Grande do Norte, dentre os anos 2007 a 2016. Os dados foram tabulados no programa Excel versão 2013, sendo migrados posteriormente para organização e análise estatística no programa SPSS versão 22. A espacialização foi realizada no programa TABWIN versão 32. A Dengue apresenta-se a Arbovirose com maior média em 2016, possuindo maior número de notificações na sétima região de saúde do Estado, e uma rápida disseminação da Zika e Chikungunya nos últimos três anos. Na análise espacial, a distribuição apresenta-se diferenciada, dependendo da taxa de prevalência da Arbovirose, sendo a Dengue e a Chikungunya destacando municípios na região do Seridó (quarta região) e a Zika no Trairi, mais precisamente na quinta região. Conclui-se que são necessárias maiores avaliações pela vigilância epidemiológica nas regiões de maiores prevalências das Arboviroses no Estado, no intuito do fortalecimento e redirecionamento das políticas de controle destas doenças e com isso, traçar melhores estratégias preventivas e educativas direcionadas a estes agravos.Research, Society and Development2021-06-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1622010.33448/rsd-v10i7.16220Research, Society and Development; Vol. 10 No. 7; e10910716220Research, Society and Development; Vol. 10 Núm. 7; e10910716220Research, Society and Development; v. 10 n. 7; e109107162202525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/16220/14588Copyright (c) 2021 Flaviana Calixta de Medeiros Silva; Héllyda de Souza Bezerra; Astha Oliveira Catônio de Araújo; Lúcia Emanuelle Silva de Carvalho; José Adailton da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Flaviana Calixta de Medeiros Bezerra, Héllyda de Souza Araújo, Astha Oliveira Catônio deCarvalho, Lúcia Emanuelle Silva de Silva, José Adailton da 2021-07-18T21:07:03Zoai:ojs.pkp.sfu.ca:article/16220Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:49.816969Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Temporal study of arboviroses: A space analysis Estudio temporal de las arboles: Un análisis espacial Estudo temporal das arboviroses: Uma análise espacial |
title |
Temporal study of arboviroses: A space analysis |
spellingShingle |
Temporal study of arboviroses: A space analysis Silva, Flaviana Calixta de Medeiros Infecções por Arboviroses Análise Espacial Vigilância epidemiológica. Infecciones por Arbovirosis Análisis Espacial Vigilancia epidemiológica. Arbovirus Infections Spatial Analysis Epidemiological surveillance. |
title_short |
Temporal study of arboviroses: A space analysis |
title_full |
Temporal study of arboviroses: A space analysis |
title_fullStr |
Temporal study of arboviroses: A space analysis |
title_full_unstemmed |
Temporal study of arboviroses: A space analysis |
title_sort |
Temporal study of arboviroses: A space analysis |
author |
Silva, Flaviana Calixta de Medeiros |
author_facet |
Silva, Flaviana Calixta de Medeiros Bezerra, Héllyda de Souza Araújo, Astha Oliveira Catônio de Carvalho, Lúcia Emanuelle Silva de Silva, José Adailton da |
author_role |
author |
author2 |
Bezerra, Héllyda de Souza Araújo, Astha Oliveira Catônio de Carvalho, Lúcia Emanuelle Silva de Silva, José Adailton da |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Silva, Flaviana Calixta de Medeiros Bezerra, Héllyda de Souza Araújo, Astha Oliveira Catônio de Carvalho, Lúcia Emanuelle Silva de Silva, José Adailton da |
dc.subject.por.fl_str_mv |
Infecções por Arboviroses Análise Espacial Vigilância epidemiológica. Infecciones por Arbovirosis Análisis Espacial Vigilancia epidemiológica. Arbovirus Infections Spatial Analysis Epidemiological surveillance. |
topic |
Infecções por Arboviroses Análise Espacial Vigilância epidemiológica. Infecciones por Arbovirosis Análisis Espacial Vigilancia epidemiológica. Arbovirus Infections Spatial Analysis Epidemiological surveillance. |
description |
The objective of the study is to analyze spatially the temporal distribution of the reported cases of Arboviroses in the 167 municipalities of Rio Grande do Norte, in the last 10 years. This is a quantitative, ecological, descriptive, cross-sectional study, analyzing spatially the Arboviroses Dengue, Zika and Chikungunya. Secondary data were available in the SUS-DATASUS Computing Program, and data provided by the Public Health Secretariat of Rio Grande do Norte-SESAP. The research was composed of the reported cases of Arbovirosis in the population of Rio Grande do Norte from 2007 to 2016. The data were tabulated in the Excel version 2013 program and later migrated to organization and statistical analysis in the SPSS version 22 program. Spatialization was performed in the TABWIN version 32 program. Dengue presents the highest Arbovirose in 2016, with the highest number of notifications in the seventh state health region, and a rapid spread of Zika and Chikungunya in the last three years. In the spatial analysis, the distribution is differentiated depending on the prevalence rate of Arbovirose, with Dengue and Chikungunya highlighting municipalities in the region of Seridó (fourth region) and Zika in Trairi, more precisely in the fifth region. It is concluded that greater evaluations by epidemiological surveillance are necessary in the regions with the highest prevalence of Arbovirosis in the State, in order to strengthen and redirect policies to control these diseases and with that, to draw up better preventive and educational strategies directed to these diseases. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/16220 10.33448/rsd-v10i7.16220 |
url |
https://rsdjournal.org/index.php/rsd/article/view/16220 |
identifier_str_mv |
10.33448/rsd-v10i7.16220 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/16220/14588 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 7; e10910716220 Research, Society and Development; Vol. 10 Núm. 7; e10910716220 Research, Society and Development; v. 10 n. 7; e10910716220 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052750196899840 |