Utilizing environmental, socioeconomic data and GIS techniques to estimate the risk for ascariasis and trichuriasis in Minas Gerais, Brazil

• Published in: Acta tropica 2012-02, Vol.121 (2), p.112-117
• Main Authors: Scholte, Ronaldo G.C., Freitas, Corina C., Dutra, Luciano V., Guimaraes, Ricardo J.P.S., Drummond, Sandra C., Oliveira, Guilherme, Carvalho, Omar S.
• Format: Article
• Language: English
• Subjects: Ascariasis; Ascariasis - epidemiology; Biological and medical sciences; Brazil - epidemiology; Climate; Diseases caused by nematodes; General aspects; Geographic Information Systems; Geographical information systems; Geography; Geohelminths; Helminthic diseases; Humans; Infectious diseases; Medical sciences; Multiple regression; Parasitic diseases; Remote Sensing Technology; Risk Assessment; Socioeconomic Factors; Trichuriasis; Trichuriasis - epidemiology
• ISSN: 0001-706X; 1873-6254
• DOI: 10.1016/j.actatropica.2011.10.011

This study aims to make prediction models for cases of ascaridiasis and tricuriasis utilizing social and environmental variables related to the GIS/RS techniques and multiple regressions. [Display omitted] ► We studied distribution of 2 geohelminths Ascaris lumbricoides and Trichuris trichiura in Brazil. ► We identified the important variables for the diseases occurrence. ► With the variables identified we were able to produce predicted diseases maps. ► These maps show the possible priority areas for intervention. ► With theses type of study we could reduce costs on interventions in big countries like Brazil. 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.