Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014

Detalhes bibliográficos
Autor(a) principal: Santos,Allan Dantas dos
Data de Publicação: 2016
Outros Autores: Lima,Ana Caroline Rodrigues, Santos,Márcio Bezerra, Alves,José Antônio Barreto, Góes,Marco Aurélio de Oliveira, Nunes,Marco Antônio Prado, Sá,Sidney Lourdes César Souza, Araújo,Karina Conceição Gomes Machado de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista da Sociedade Brasileira de Medicina Tropical
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822016000500608
Resumo: Abstract INTRODUCTION: Schistosomiasis is a parasitic infectious disease with a worldwide prevalence. The objective of this work is to identify risk areas for schistosomiasis mansoni transmission in the State of Sergipe, Brazil, during the period from 2005 to 2014. METHODS: We conducted an epidemiological study with secondary data from the Information System Control Program of Schistosomiasis [Sistema de Informação do Programa de Controle da Esquistossomose (SISPCE)]. Temporal trends were analyzed to obtain the annual percentage change (APC) in the rates of annual prevalence. In addition to the description of general indicators of the disease, the spatial analysis was descriptive, by means of the estimator of intensity kernel, and showed spatial dependence by indicators of global Moran (I) and Local Index of Spatial Association (LISA). Thematic maps of spatial distribution were made, identifying priority intervention areas in need of healthcare. RESULTS: There were 78,663 cases of schistosomiasis, with an average of 8.7% positivity recorded; 79.8% of the cases were treated, and Sergipe showed a decreasing positive trend (APC: -2.78). There was the presence of spatial autocorrelation and a significant global Moran index (I = 0.19; p-value = 0.03). We identified clusters of high-risk areas, mainly located in the northeast and southcentral of the state, which each had equally high infection rates. CONCLUSIONS: There was a decreasing positive trend of schistosomiasis in Sergipe. Spatial analysis identified the geographic distribution of risk and allowed the definition of priority areas for the maintenance and intensification of control interventions.
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spelling Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014SchistosomiasisEpidemiologyGeographical information systemSpatial analysisAbstract INTRODUCTION: Schistosomiasis is a parasitic infectious disease with a worldwide prevalence. The objective of this work is to identify risk areas for schistosomiasis mansoni transmission in the State of Sergipe, Brazil, during the period from 2005 to 2014. METHODS: We conducted an epidemiological study with secondary data from the Information System Control Program of Schistosomiasis [Sistema de Informação do Programa de Controle da Esquistossomose (SISPCE)]. Temporal trends were analyzed to obtain the annual percentage change (APC) in the rates of annual prevalence. In addition to the description of general indicators of the disease, the spatial analysis was descriptive, by means of the estimator of intensity kernel, and showed spatial dependence by indicators of global Moran (I) and Local Index of Spatial Association (LISA). Thematic maps of spatial distribution were made, identifying priority intervention areas in need of healthcare. RESULTS: There were 78,663 cases of schistosomiasis, with an average of 8.7% positivity recorded; 79.8% of the cases were treated, and Sergipe showed a decreasing positive trend (APC: -2.78). There was the presence of spatial autocorrelation and a significant global Moran index (I = 0.19; p-value = 0.03). We identified clusters of high-risk areas, mainly located in the northeast and southcentral of the state, which each had equally high infection rates. CONCLUSIONS: There was a decreasing positive trend of schistosomiasis in Sergipe. Spatial analysis identified the geographic distribution of risk and allowed the definition of priority areas for the maintenance and intensification of control interventions.Sociedade Brasileira de Medicina Tropical - SBMT2016-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822016000500608Revista da Sociedade Brasileira de Medicina Tropical v.49 n.5 2016reponame:Revista da Sociedade Brasileira de Medicina Tropicalinstname:Sociedade Brasileira de Medicina Tropical (SBMT)instacron:SBMT10.1590/0037-8682-0137-2016info:eu-repo/semantics/openAccessSantos,Allan Dantas dosLima,Ana Caroline RodriguesSantos,Márcio BezerraAlves,José Antônio BarretoGóes,Marco Aurélio de OliveiraNunes,Marco Antônio PradoSá,Sidney Lourdes César SouzaAraújo,Karina Conceição Gomes Machado deeng2016-10-31T00:00:00Zoai:scielo:S0037-86822016000500608Revistahttps://www.sbmt.org.br/portal/revista/ONGhttps://old.scielo.br/oai/scielo-oai.php||dalmo@rsbmt.uftm.edu.br|| rsbmt@rsbmt.uftm.edu.br1678-98490037-8682opendoar:2016-10-31T00:00Revista da Sociedade Brasileira de Medicina Tropical - Sociedade Brasileira de Medicina Tropical (SBMT)false
dc.title.none.fl_str_mv Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
title Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
spellingShingle Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
Santos,Allan Dantas dos
Schistosomiasis
Epidemiology
Geographical information system
Spatial analysis
title_short Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
title_full Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
title_fullStr Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
title_full_unstemmed Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
title_sort Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014
author Santos,Allan Dantas dos
author_facet Santos,Allan Dantas dos
Lima,Ana Caroline Rodrigues
Santos,Márcio Bezerra
Alves,José Antônio Barreto
Góes,Marco Aurélio de Oliveira
Nunes,Marco Antônio Prado
Sá,Sidney Lourdes César Souza
Araújo,Karina Conceição Gomes Machado de
author_role author
author2 Lima,Ana Caroline Rodrigues
Santos,Márcio Bezerra
Alves,José Antônio Barreto
Góes,Marco Aurélio de Oliveira
Nunes,Marco Antônio Prado
Sá,Sidney Lourdes César Souza
Araújo,Karina Conceição Gomes Machado de
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santos,Allan Dantas dos
Lima,Ana Caroline Rodrigues
Santos,Márcio Bezerra
Alves,José Antônio Barreto
Góes,Marco Aurélio de Oliveira
Nunes,Marco Antônio Prado
Sá,Sidney Lourdes César Souza
Araújo,Karina Conceição Gomes Machado de
dc.subject.por.fl_str_mv Schistosomiasis
Epidemiology
Geographical information system
Spatial analysis
topic Schistosomiasis
Epidemiology
Geographical information system
Spatial analysis
description Abstract INTRODUCTION: Schistosomiasis is a parasitic infectious disease with a worldwide prevalence. The objective of this work is to identify risk areas for schistosomiasis mansoni transmission in the State of Sergipe, Brazil, during the period from 2005 to 2014. METHODS: We conducted an epidemiological study with secondary data from the Information System Control Program of Schistosomiasis [Sistema de Informação do Programa de Controle da Esquistossomose (SISPCE)]. Temporal trends were analyzed to obtain the annual percentage change (APC) in the rates of annual prevalence. In addition to the description of general indicators of the disease, the spatial analysis was descriptive, by means of the estimator of intensity kernel, and showed spatial dependence by indicators of global Moran (I) and Local Index of Spatial Association (LISA). Thematic maps of spatial distribution were made, identifying priority intervention areas in need of healthcare. RESULTS: There were 78,663 cases of schistosomiasis, with an average of 8.7% positivity recorded; 79.8% of the cases were treated, and Sergipe showed a decreasing positive trend (APC: -2.78). There was the presence of spatial autocorrelation and a significant global Moran index (I = 0.19; p-value = 0.03). We identified clusters of high-risk areas, mainly located in the northeast and southcentral of the state, which each had equally high infection rates. CONCLUSIONS: There was a decreasing positive trend of schistosomiasis in Sergipe. Spatial analysis identified the geographic distribution of risk and allowed the definition of priority areas for the maintenance and intensification of control interventions.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-01
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822016000500608
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0037-8682-0137-2016
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Medicina Tropical - SBMT
publisher.none.fl_str_mv Sociedade Brasileira de Medicina Tropical - SBMT
dc.source.none.fl_str_mv Revista da Sociedade Brasileira de Medicina Tropical v.49 n.5 2016
reponame:Revista da Sociedade Brasileira de Medicina Tropical
instname:Sociedade Brasileira de Medicina Tropical (SBMT)
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reponame_str Revista da Sociedade Brasileira de Medicina Tropical
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repository.name.fl_str_mv Revista da Sociedade Brasileira de Medicina Tropical - Sociedade Brasileira de Medicina Tropical (SBMT)
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