title: Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data.
abstract: 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.
authors.affiliation: Programa de Pós-Graduação em Clínica Médica/Biomedicina, Santa Casa de Misericórdia de Belo Horizonte, Belo Horizonte, MG, Brasil.
authors.forename: Ricardo J P S
authors.initials: RJ
authors.lastname: Guimarães
authors.forename: Corina C
authors.initials: CC
authors.lastname: Freitas
authors.forename: Luciano V
authors.initials: LV
authors.lastname: Dutra
authors.forename: Ana C M
authors.initials: AC
authors.lastname: Moura
authors.forename: Ronaldo S
authors.initials: RS
authors.lastname: Amaral
authors.forename: Sandra C
authors.initials: SC
authors.lastname: Drummond
authors.forename: Márcio
authors.initials: M
authors.lastname: Guerra
authors.forename: Ronaldo G C
authors.initials: RG
authors.lastname: Scholte
authors.forename: Charles R
authors.initials: CR
authors.lastname: Freitas
authors.forename: Omar S
authors.initials: OS
authors.lastname: Carvalho
mesh_terms: D000818:Animals; D001938:Brazil / Q000453:epidemiology; D040362:Geographic Information Systems; D006801:Humans; D015995:Prevalence; D012044:Regression Analysis; D012552:Schistosomiasis / Q000453:epidemiology*; D012621:Seasons; D012959:Socioeconomic Factors