Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data

Detalhes bibliográficos
Autor(a) principal: Guimarães,Ricardo JPS
Data de Publicação: 2006
Outros Autores: Freitas,Corina C, Dutra,Luciano V, Moura,Ana CM, Amaral,Ronaldo S, Drummond,Sandra C, Guerra,Márcio, Scholte,Ronaldo GC, Freitas,Charles R, Carvalho,Omar S
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Memórias do Instituto Oswaldo Cruz
Texto Completo: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762006000900014
Resumo: The aim of this work is to establish a relationship between schistosomiasis prevalence and social-environmental variables, in the state of Minas Gerais, Brazil, through multiple linear regression. The final regression model was established, after a variables selection phase, with a set of spatial variables which contains the summer minimum temperature, human development index, and vegetation type variables. Based on this model, a schistosomiasis risk map was built for Minas Gerais.
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spelling Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial dataschistosomiasisrisk mapgeographical information systemmultiple linear regressionThe aim of this work is to establish a relationship between schistosomiasis prevalence and social-environmental variables, in the state of Minas Gerais, Brazil, through multiple linear regression. The final regression model was established, after a variables selection phase, with a set of spatial variables which contains the summer minimum temperature, human development index, and vegetation type variables. Based on this model, a schistosomiasis risk map was built for Minas Gerais.Instituto Oswaldo Cruz, Ministério da Saúde2006-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762006000900014Memórias do Instituto Oswaldo Cruz v.101 suppl.1 2006reponame:Memórias do Instituto Oswaldo Cruzinstname:Fundação Oswaldo Cruzinstacron:FIOCRUZ10.1590/S0074-02762006000900014info:eu-repo/semantics/openAccessGuimarães,Ricardo JPSFreitas,Corina CDutra,Luciano VMoura,Ana CMAmaral,Ronaldo SDrummond,Sandra CGuerra,MárcioScholte,Ronaldo GCFreitas,Charles RCarvalho,Omar Seng2020-04-25T17:49:42Zhttp://www.scielo.br/oai/scielo-oai.php0074-02761678-8060opendoar:null2020-04-26 02:14:08.387Memórias do Instituto Oswaldo Cruz - Fundação Oswaldo Cruztrue
dc.title.none.fl_str_mv Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
title Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
spellingShingle Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
Guimarães,Ricardo JPS
schistosomiasis
risk map
geographical information system
multiple linear regression
title_short Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
title_full Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
title_fullStr Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
title_full_unstemmed Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
title_sort Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
author Guimarães,Ricardo JPS
author_facet Guimarães,Ricardo JPS
Freitas,Corina C
Dutra,Luciano V
Moura,Ana CM
Amaral,Ronaldo S
Drummond,Sandra C
Guerra,Márcio
Scholte,Ronaldo GC
Freitas,Charles R
Carvalho,Omar S
author_role author
author2 Freitas,Corina C
Dutra,Luciano V
Moura,Ana CM
Amaral,Ronaldo S
Drummond,Sandra C
Guerra,Márcio
Scholte,Ronaldo GC
Freitas,Charles R
Carvalho,Omar S
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Guimarães,Ricardo JPS
Freitas,Corina C
Dutra,Luciano V
Moura,Ana CM
Amaral,Ronaldo S
Drummond,Sandra C
Guerra,Márcio
Scholte,Ronaldo GC
Freitas,Charles R
Carvalho,Omar S
dc.subject.por.fl_str_mv schistosomiasis
risk map
geographical information system
multiple linear regression
topic schistosomiasis
risk map
geographical information system
multiple linear regression
dc.description.none.fl_txt_mv The aim of this work is to establish a relationship between schistosomiasis prevalence and social-environmental variables, in the state of Minas Gerais, Brazil, through multiple linear regression. The final regression model was established, after a variables selection phase, with a set of spatial variables which contains the summer minimum temperature, human development index, and vegetation type variables. Based on this model, a schistosomiasis risk map was built for Minas Gerais.
description The aim of this work is to establish a relationship between schistosomiasis prevalence and social-environmental variables, in the state of Minas Gerais, Brazil, through multiple linear regression. The final regression model was established, after a variables selection phase, with a set of spatial variables which contains the summer minimum temperature, human development index, and vegetation type variables. Based on this model, a schistosomiasis risk map was built for Minas Gerais.
publishDate 2006
dc.date.none.fl_str_mv 2006-10-01
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://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762006000900014
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762006000900014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0074-02762006000900014
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 Oswaldo Cruz, Ministério da Saúde
publisher.none.fl_str_mv Instituto Oswaldo Cruz, Ministério da Saúde
dc.source.none.fl_str_mv Memórias do Instituto Oswaldo Cruz v.101 suppl.1 2006
reponame:Memórias do Instituto Oswaldo Cruz
instname:Fundação Oswaldo Cruz
instacron:FIOCRUZ
reponame_str Memórias do Instituto Oswaldo Cruz
collection Memórias do Instituto Oswaldo Cruz
instname_str Fundação Oswaldo Cruz
instacron_str FIOCRUZ
institution FIOCRUZ
repository.name.fl_str_mv Memórias do Instituto Oswaldo Cruz - Fundação Oswaldo Cruz
repository.mail.fl_str_mv
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