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 José de Paula Souza
Data de Publicação: 2006
Outros Autores: Freitas, Corina da Costa, Dutra, Luciano Vieira, Moura, Ana Clara Mourão, Amaral, Ronaldo Santos do, Drummond, Sandra Costa, Guerra, Márcio, Scholte, Ronaldo Guilherme Carvalho, Freitas, Charles R., Carvalho, Omar dos Santos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/6560
Resumo: CNPq (309922/2003-8; 305546/2003-1; 380203/2004-9) Fapemig (EDT 1775/03; EDT 61775/03; CRA 0070/04)
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spelling Guimarães, Ricardo José de Paula SouzaFreitas, Corina da CostaDutra, Luciano VieiraMoura, Ana Clara MourãoAmaral, Ronaldo Santos doDrummond, Sandra CostaGuerra, MárcioScholte, Ronaldo Guilherme CarvalhoFreitas, Charles R.Carvalho, Omar dos Santos2013-06-05T14:12:16Z2013-06-05T14:12:16Z2006GUIMARÃES, Ricardo José de Paula Souza et al. Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 101, Suppl. I, p. 91-96, 2006.0074-0276https://www.arca.fiocruz.br/handle/icict/656010.1590/S0074-02762006000900014.CNPq (309922/2003-8; 305546/2003-1; 380203/2004-9) Fapemig (EDT 1775/03; EDT 61775/03; CRA 0070/04)Santa Casa de Misericórdia de Belo Horizonte. Programa de Pós-Graduação em Clínica Médica / Biomedicina da Santa Casa de Misericórdia de Belo Horizonte. Belo Horizonte, MG, Brasil.Instituto Nacional de Pesquisas Espaciais. São José dos Campos, SP, Brasil.Instituto Nacional de Pesquisas Espaciais. São José dos Campos, SP, Brasil.Universidade Federal de Minas Gerais. Belo Horizonte, MG, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Brasíla, DF, Brasil.Estado de Minas Gerais. Secretaria Estadual de Saúde. Belo Horizonte, MG, Brasil.Companhia de Tecnologia da Informação do Estado de Minas Gerais. Belo Horizonte, MG, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, MG, Brasil / Santa Casa de Misericórdia de Belo Horizonte. Programa de Pós-Graduação em Clínica Médica / Biomedicina da Santa Casa de Misericórdia de Belo Horizonte. Belo Horizonte, MG, Brasil.Universidade Federal de Minas Gerais. Belo Horizonte, MG, Brasil.Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, MG, Brasil.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. 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dc.title.pt_BR.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 José de Paula Souza
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 José de Paula Souza
author_facet Guimarães, Ricardo José de Paula Souza
Freitas, Corina da Costa
Dutra, Luciano Vieira
Moura, Ana Clara Mourão
Amaral, Ronaldo Santos do
Drummond, Sandra Costa
Guerra, Márcio
Scholte, Ronaldo Guilherme Carvalho
Freitas, Charles R.
Carvalho, Omar dos Santos
author_role author
author2 Freitas, Corina da Costa
Dutra, Luciano Vieira
Moura, Ana Clara Mourão
Amaral, Ronaldo Santos do
Drummond, Sandra Costa
Guerra, Márcio
Scholte, Ronaldo Guilherme Carvalho
Freitas, Charles R.
Carvalho, Omar dos Santos
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Guimarães, Ricardo José de Paula Souza
Freitas, Corina da Costa
Dutra, Luciano Vieira
Moura, Ana Clara Mourão
Amaral, Ronaldo Santos do
Drummond, Sandra Costa
Guerra, Márcio
Scholte, Ronaldo Guilherme Carvalho
Freitas, Charles R.
Carvalho, Omar dos Santos
dc.subject.en.pt_BR.fl_str_mv Schistosomiasis/risk map
Geographical information system
Multiple linear regression
topic Schistosomiasis/risk map
Geographical information system
Multiple linear regression
description CNPq (309922/2003-8; 305546/2003-1; 380203/2004-9) Fapemig (EDT 1775/03; EDT 61775/03; CRA 0070/04)
publishDate 2006
dc.date.issued.fl_str_mv 2006
dc.date.accessioned.fl_str_mv 2013-06-05T14:12:16Z
dc.date.available.fl_str_mv 2013-06-05T14:12:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv GUIMARÃES, Ricardo José de Paula Souza et al. Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 101, Suppl. I, p. 91-96, 2006.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/6560
dc.identifier.issn.none.fl_str_mv 0074-0276
dc.identifier.doi.none.fl_str_mv 10.1590/S0074-02762006000900014.
identifier_str_mv GUIMARÃES, Ricardo José de Paula Souza et al. Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 101, Suppl. I, p. 91-96, 2006.
0074-0276
10.1590/S0074-02762006000900014.
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