Analysis and estimative of schistosomiasis prevalence for the state of Minas Gerais, Brazil, using multiple regression with social and environmental spatial data
Mem. Inst. Oswaldo Cruz
; 101(supl.1): 91-96, Oct. 2006. mapas
Article
in English
| LILACS
| ID: lil-441279
Responsible library:
BR1.1
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.
Full text:
Available
Collection:
International databases
Health context:
Sustainable Health Agenda for the Americas
/
Neglected Diseases
Health problem:
Goal 6: Information systems for health
/
Helminthiasis
/
Neglected Diseases
/
Schistosomiasis
/
Zoonoses
Database:
LILACS
Main subject:
Schistosomiasis
Type of study:
Diagnostic study
/
Prevalence study
/
Prognostic study
/
Risk factors
Limits:
Animals
/
Humans
Country/Region as subject:
South America
/
Brazil
Language:
English
Journal:
Mem. Inst. Oswaldo Cruz
Journal subject:
Tropical Medicine
/
Parasitology
Year:
2006
Document type:
Article
/
Project document
Affiliation country:
Brazil
Institution/Affiliation country:
Companhia de Tecnologia da Informação do Estado de Minas Gerais/BR
/
Fiocruz/BR
/
Instituto Nacional de Pesquisas Espaciais/BR
/
Ministério da Saúde/BR
/
Santa Casa de Misericórdia de Belo Horizonte/BR
/
Secretaria Estadual de Saúde/BR
/
Universidade Federal de Minas Gerais/BR
