Literature DB >> 17308753

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

Ricardo J P S Guimarães1, Corina C Freitas, Luciano V Dutra, Ana C M Moura, Ronaldo S Amaral, Sandra C Drummond, Márcio Guerra, Ronaldo G C Scholte, Charles R Freitas, Omar S Carvalho.   

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.

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Year:  2006        PMID: 17308753     DOI: 10.1590/s0074-02762006000900014

Source DB:  PubMed          Journal:  Mem Inst Oswaldo Cruz        ISSN: 0074-0276            Impact factor:   2.743


  3 in total

1.  GIS-based spatial analysis: basic sanitation services in Parana State, Southern Brazil.

Authors:  Edilberto Nunes de Moura; Mario Procopiuck
Journal:  Environ Monit Assess       Date:  2020-01-07       Impact factor: 2.513

2.  Use of indicator kriging to investigate schistosomiasis in minas gerais state, Brazil.

Authors:  Ricardo J P S Guimarães; Corina C Freitas; Luciano V Dutra; Carlos A Felgueiras; Sandra C Drummond; Sandra H C Tibiriçá; Guilherme Oliveira; Omar S Carvalho
Journal:  J Trop Med       Date:  2012-01-12

Review 3.  Schistosomiasis Prevalence and Intensity of Infection in Latin America and the Caribbean Countries, 1942-2014: A Systematic Review in the Context of a Regional Elimination Goal.

Authors:  Ana Clara Zoni; Laura Catalá; Steven K Ault
Journal:  PLoS Negl Trop Dis       Date:  2016-03-23
  3 in total

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