Spatial distribution for diarrhea hospitalization in São Paulo State
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
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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Revista Brasileira de Saúde Materno Infantil (Online) |
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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292017000300475 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292017000300475 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1806-93042017000300004 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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) instacron:IMIPFF |
instname_str |
Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF) |
instacron_str |
IMIPFF |
institution |
IMIPFF |
reponame_str |
Revista Brasileira de Saúde Materno Infantil (Online) |
collection |
Revista Brasileira de Saúde Materno Infantil (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Saúde Materno Infantil (Online) - Instituto de Medicina Integral Prof. Fernando Figueira (IMIPFF) |
repository.mail.fl_str_mv |
||revista@imip.org.br |
_version_ |
1752129929828368384 |