Title of article :
Utilizing environmental, socioeconomic data and GIS techniques to estimate the risk for ascariasis and trichuriasis in Minas Gerais, Brazil
Author/Authors :
Scholte، نويسنده , , Ronaldo G.C. and Freitas، نويسنده , , Corina C. and Dutra، نويسنده , , Luciano V. and Guimaraes، نويسنده , , Ricardo J.P.S. and Drummond، نويسنده , , Sandra C. and Oliveira، نويسنده , , Guilherme Costa Carvalho Silva، نويسنده , , Omar S.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
6
From page :
112
To page :
117
Abstract :
The impact of intestinal helminths on human health is well known among the population and health authorities because of their wide geographic distribution and the serious problems they cause. Geohelminths are highly prevalent and have a big impact on public health, mainly in underdeveloped and developing countries. Geohelminths are responsible for the high levels of debility found in the younger population and are often related to cases of chronic diarrhea and malnutrition, which put the physical and intellectual development of children at risk. These geohelminths have not been sufficiently studied. One obstacle in implementing a control program is the lack of knowledge of the prevalence and geographical distribution. Geographical information systems (GIS) and remote sensing (RS) have been utilized to improve understanding of infectious disease distribution and climatic patterns. In this study, GIS and RS technologies, as well as meteorological, social, and environmental variables were utilized for the modeling and prediction of ascariasis and trichuriasis. The GIS and RS technologies specifically used were those produced by orbital sensing including the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Shuttle Radar Topography Mission (SRTM). The results of this study demonstrated important factors related to the transmission of ascariasis and trichuriasis and confirmed the key association between environmental variables and the poverty index, which enabled us to identify priority areas for intervention planning in the state of Minas Gerais in Brazil.
Keywords :
Geohelminths , Ascariasis , Multiple regression , Geographical information systems , Trichuriasis
Journal title :
Acta Tropica
Serial Year :
2012
Journal title :
Acta Tropica
Record number :
1741474
Link To Document :
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