Spatial distribution for diarrhea hospitalization in São Paulo State

Detalhes bibliográficos
Autor(a) principal: Vaz,Fernanda Pires Cecchetti
Data de Publicação: 2017
Outros Autores: Nascimento,Luiz Fernando Costa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Saúde Materno Infantil (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292017000300475
Resumo: Abstract Objectives: to identify spatial pattern on hospitalization rates of children with diarrhea in the counties in São Paulo State. Methods: ecological and exploratory study on hospitalized data of children with diarrhea under the age of four in 2008 and 2012, the IDH mothers with low schooling level and children living with a low income less than half minimum wage were obtained from Datasus and inserted into digital map of the counties in São Paulo State. Moran's global index (I) and Pearson's coefficients correlation and thematic maps of hospitalization rates of 1,000 children, Moran maps and kernel map were calculated. Results: there were 34, 802 hospital admissions, with an average rate of 4.7 hospitalizations / 1,000 children (SD=7.2). Hospitalization rates were correlated only with schooling (r= 0.09, p<0.05). Moran's index for hospitalization rate was I=0.31(p<0.01). The thematic map of the hospital admission rates showed a cluster of counties in the west of the State; the kernel map showed a higher density of hospitalization in this region and the Moran map identified 57 counties which deserve attention. Conclusions: the results provide subsidies for the counties and regional managers to implement measurements aiming to reduce these rates.
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spelling Spatial distribution for diarrhea hospitalization in São Paulo StateDiarrheaSpatial analysisChild healthGeographic information systemAbstract Objectives: to identify spatial pattern on hospitalization rates of children with diarrhea in the counties in São Paulo State. Methods: ecological and exploratory study on hospitalized data of children with diarrhea under the age of four in 2008 and 2012, the IDH mothers with low schooling level and children living with a low income less than half minimum wage were obtained from Datasus and inserted into digital map of the counties in São Paulo State. Moran's global index (I) and Pearson's coefficients correlation and thematic maps of hospitalization rates of 1,000 children, Moran maps and kernel map were calculated. Results: there were 34, 802 hospital admissions, with an average rate of 4.7 hospitalizations / 1,000 children (SD=7.2). Hospitalization rates were correlated only with schooling (r= 0.09, p<0.05). Moran's index for hospitalization rate was I=0.31(p<0.01). The thematic map of the hospital admission rates showed a cluster of counties in the west of the State; the kernel map showed a higher density of hospitalization in this region and the Moran map identified 57 counties which deserve attention. Conclusions: the results provide subsidies for the counties and regional managers to implement measurements aiming to reduce these rates.Instituto de Medicina Integral Prof. Fernando Figueira2017-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292017000300475Revista Brasileira de Saúde Materno Infantil v.17 n.3 2017reponame:Revista Brasileira de Saúde Materno Infantil (Online)instname:Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF)instacron:IMIPFF10.1590/1806-93042017000300004info:eu-repo/semantics/openAccessVaz,Fernanda Pires CecchettiNascimento,Luiz Fernando Costaeng2017-10-16T00:00:00Zoai:scielo:S1519-38292017000300475Revistahttp://www.scielo.br/rbsmihttps://old.scielo.br/oai/scielo-oai.php||revista@imip.org.br1806-93041519-3829opendoar:2017-10-16T00:00Revista Brasileira de Saúde Materno Infantil (Online) - Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF)false
dc.title.none.fl_str_mv Spatial distribution for diarrhea hospitalization in São Paulo State
title Spatial distribution for diarrhea hospitalization in São Paulo State
spellingShingle Spatial distribution for diarrhea hospitalization in São Paulo State
Vaz,Fernanda Pires Cecchetti
Diarrhea
Spatial analysis
Child health
Geographic information system
title_short Spatial distribution for diarrhea hospitalization in São Paulo State
title_full Spatial distribution for diarrhea hospitalization in São Paulo State
title_fullStr Spatial distribution for diarrhea hospitalization in São Paulo State
title_full_unstemmed Spatial distribution for diarrhea hospitalization in São Paulo State
title_sort Spatial distribution for diarrhea hospitalization in São Paulo State
author Vaz,Fernanda Pires Cecchetti
author_facet Vaz,Fernanda Pires Cecchetti
Nascimento,Luiz Fernando Costa
author_role author
author2 Nascimento,Luiz Fernando Costa
author2_role author
dc.contributor.author.fl_str_mv Vaz,Fernanda Pires Cecchetti
Nascimento,Luiz Fernando Costa
dc.subject.por.fl_str_mv Diarrhea
Spatial analysis
Child health
Geographic information system
topic Diarrhea
Spatial analysis
Child health
Geographic information system
description Abstract Objectives: to identify spatial pattern on hospitalization rates of children with diarrhea in the counties in São Paulo State. Methods: ecological and exploratory study on hospitalized data of children with diarrhea under the age of four in 2008 and 2012, the IDH mothers with low schooling level and children living with a low income less than half minimum wage were obtained from Datasus and inserted into digital map of the counties in São Paulo State. Moran's global index (I) and Pearson's coefficients correlation and thematic maps of hospitalization rates of 1,000 children, Moran maps and kernel map were calculated. Results: there were 34, 802 hospital admissions, with an average rate of 4.7 hospitalizations / 1,000 children (SD=7.2). Hospitalization rates were correlated only with schooling (r= 0.09, p<0.05). Moran's index for hospitalization rate was I=0.31(p<0.01). The thematic map of the hospital admission rates showed a cluster of counties in the west of the State; the kernel map showed a higher density of hospitalization in this region and the Moran map identified 57 counties which deserve attention. Conclusions: the results provide subsidies for the counties and regional managers to implement measurements aiming to reduce these rates.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1806-93042017000300004
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dc.publisher.none.fl_str_mv Instituto de Medicina Integral Prof. Fernando Figueira
publisher.none.fl_str_mv Instituto de Medicina Integral Prof. Fernando Figueira
dc.source.none.fl_str_mv Revista Brasileira de Saúde Materno Infantil v.17 n.3 2017
reponame:Revista Brasileira de Saúde Materno Infantil (Online)
instname:Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF)
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instname_str Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF)
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reponame_str Revista Brasileira de Saúde Materno Infantil (Online)
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