The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism

Detalhes bibliográficos
Autor(a) principal: Carvalho,Omar S
Data de Publicação: 2010
Outros Autores: Scholte,Ronaldo GC, Guimarães,Ricardo JPS, Freitas,Corina C, Drummond,Sandra C, Amaral,Ronaldo S, Dutra,Luciano V, Oliveira,Guilherme, Massara,Cristiano L, Enk,Martin J
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=S0074-02762010000400031
Resumo: Geographical Information System (GIS) is a tool that has recently been applied to better understand spatial disease distributions. Using meteorological, social, sanitation, mollusc distribution data and remote sensing variables, this study aimed to further develop the GIS technology by creating a model for the spatial distribution of schistosomiasis and to apply this model to an area with rural tourism in the Brazilian state of Minas Gerais (MG). The Estrada Real, covering about 1,400 km, is the largest and most important Brazilian tourism project, involving 163 cities in MG with different schistosomiasis prevalence rates. The model with three variables showed a R² = 0.34, with a standard deviation of risk estimated adequate for public health needs. The main variables selected for modelling were summer vegetation, summer minimal temperature and winter minimal temperature. The results confirmed the importance of Remote Sensing data and the valuable contribution of GIS in identifying priority areas for intervention in tourism regions which are endemic to schistosomiasis.
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spelling The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourismGeographic Information SystemschistosomiasisEstrada Real projectcontrolmultiple linear regressionGeographical Information System (GIS) is a tool that has recently been applied to better understand spatial disease distributions. Using meteorological, social, sanitation, mollusc distribution data and remote sensing variables, this study aimed to further develop the GIS technology by creating a model for the spatial distribution of schistosomiasis and to apply this model to an area with rural tourism in the Brazilian state of Minas Gerais (MG). The Estrada Real, covering about 1,400 km, is the largest and most important Brazilian tourism project, involving 163 cities in MG with different schistosomiasis prevalence rates. The model with three variables showed a R² = 0.34, with a standard deviation of risk estimated adequate for public health needs. The main variables selected for modelling were summer vegetation, summer minimal temperature and winter minimal temperature. The results confirmed the importance of Remote Sensing data and the valuable contribution of GIS in identifying priority areas for intervention in tourism regions which are endemic to schistosomiasis.Instituto Oswaldo Cruz, Ministério da Saúde2010-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762010000400031Memórias do Instituto Oswaldo Cruz v.105 n.4 2010reponame:Memórias do Instituto Oswaldo Cruzinstname:Fundação Oswaldo Cruzinstacron:FIOCRUZ10.1590/S0074-02762010000400031info:eu-repo/semantics/openAccessCarvalho,Omar SScholte,Ronaldo GCGuimarães,Ricardo JPSFreitas,Corina CDrummond,Sandra CAmaral,Ronaldo SDutra,Luciano VOliveira,GuilhermeMassara,Cristiano LEnk,Martin Jeng2020-04-25T17:50:48Zhttp://www.scielo.br/oai/scielo-oai.php0074-02761678-8060opendoar:null2020-04-26 02:17:03.11Memórias do Instituto Oswaldo Cruz - Fundação Oswaldo Cruztrue
dc.title.none.fl_str_mv The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism
title The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism
spellingShingle The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism
Carvalho,Omar S
Geographic Information System
schistosomiasis
Estrada Real project
control
multiple linear regression
title_short The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism
title_full The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism
title_fullStr The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism
title_full_unstemmed The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism
title_sort The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism
author Carvalho,Omar S
author_facet Carvalho,Omar S
Scholte,Ronaldo GC
Guimarães,Ricardo JPS
Freitas,Corina C
Drummond,Sandra C
Amaral,Ronaldo S
Dutra,Luciano V
Oliveira,Guilherme
Massara,Cristiano L
Enk,Martin J
author_role author
author2 Scholte,Ronaldo GC
Guimarães,Ricardo JPS
Freitas,Corina C
Drummond,Sandra C
Amaral,Ronaldo S
Dutra,Luciano V
Oliveira,Guilherme
Massara,Cristiano L
Enk,Martin J
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Carvalho,Omar S
Scholte,Ronaldo GC
Guimarães,Ricardo JPS
Freitas,Corina C
Drummond,Sandra C
Amaral,Ronaldo S
Dutra,Luciano V
Oliveira,Guilherme
Massara,Cristiano L
Enk,Martin J
dc.subject.por.fl_str_mv Geographic Information System
schistosomiasis
Estrada Real project
control
multiple linear regression
topic Geographic Information System
schistosomiasis
Estrada Real project
control
multiple linear regression
dc.description.none.fl_txt_mv Geographical Information System (GIS) is a tool that has recently been applied to better understand spatial disease distributions. Using meteorological, social, sanitation, mollusc distribution data and remote sensing variables, this study aimed to further develop the GIS technology by creating a model for the spatial distribution of schistosomiasis and to apply this model to an area with rural tourism in the Brazilian state of Minas Gerais (MG). The Estrada Real, covering about 1,400 km, is the largest and most important Brazilian tourism project, involving 163 cities in MG with different schistosomiasis prevalence rates. The model with three variables showed a R² = 0.34, with a standard deviation of risk estimated adequate for public health needs. The main variables selected for modelling were summer vegetation, summer minimal temperature and winter minimal temperature. The results confirmed the importance of Remote Sensing data and the valuable contribution of GIS in identifying priority areas for intervention in tourism regions which are endemic to schistosomiasis.
description Geographical Information System (GIS) is a tool that has recently been applied to better understand spatial disease distributions. Using meteorological, social, sanitation, mollusc distribution data and remote sensing variables, this study aimed to further develop the GIS technology by creating a model for the spatial distribution of schistosomiasis and to apply this model to an area with rural tourism in the Brazilian state of Minas Gerais (MG). The Estrada Real, covering about 1,400 km, is the largest and most important Brazilian tourism project, involving 163 cities in MG with different schistosomiasis prevalence rates. The model with three variables showed a R² = 0.34, with a standard deviation of risk estimated adequate for public health needs. The main variables selected for modelling were summer vegetation, summer minimal temperature and winter minimal temperature. The results confirmed the importance of Remote Sensing data and the valuable contribution of GIS in identifying priority areas for intervention in tourism regions which are endemic to schistosomiasis.
publishDate 2010
dc.date.none.fl_str_mv 2010-07-01
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://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762010000400031
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762010000400031
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0074-02762010000400031
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.105 n.4 2010
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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