Temporal study of arboviroses: A space analysis

Detalhes bibliográficos
Autor(a) principal: Silva, Flaviana Calixta de Medeiros
Data de Publicação: 2021
Outros Autores: Bezerra, Héllyda de Souza, Araújo, Astha Oliveira Catônio de, Carvalho, Lúcia Emanuelle Silva de, Silva, José Adailton da
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.
id UNIFEI_ea1fa9c4801120e888ab9dd82d86fddc
oai_identifier_str oai:ojs.pkp.sfu.ca:article/16220
network_acronym_str UNIFEI
network_name_str Research, Society and Development
repository_id_str
spelling 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
_version_ 1797052750196899840