2010
DOI: 10.1590/s0074-02762010000400030
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A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil

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Cited by 29 publications
(33 citation statements)
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References 35 publications
(29 reference statements)
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“…In 2009, the Pan American Health Organization (PAHO) put forward an agenda for the control and elimination of neglected diseases and other poverty-related infections in Latin America and the Caribbean (PAHO, 2009;Schneider et al, 2011;Colston and Saboyá, 2013). Interventions that focus on priority areas are required to improve the cost-effectiveness of control programmes and, among the proposed deliverables, reliable maps of the distribution of neglected tropical diseases along with estimates of the numbers infected play an important role Guimarães et al, 2010;Ault et al, 2012;Scholte et al, 2012a;Colston and Saboyá, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…In 2009, the Pan American Health Organization (PAHO) put forward an agenda for the control and elimination of neglected diseases and other poverty-related infections in Latin America and the Caribbean (PAHO, 2009;Schneider et al, 2011;Colston and Saboyá, 2013). Interventions that focus on priority areas are required to improve the cost-effectiveness of control programmes and, among the proposed deliverables, reliable maps of the distribution of neglected tropical diseases along with estimates of the numbers infected play an important role Guimarães et al, 2010;Ault et al, 2012;Scholte et al, 2012a;Colston and Saboyá, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Snail distribution and consequently also cases of schistosomiasis could be modelled from the environmental and climatic characteristics and therefore the maps of the distribution of Biomphalaria obtained can be used as predictors for the distribution of S. mansoni. Since schistosomiasis is a disease with distribution determined by the structural and contextual components of the environment, geoprocessing should be a powerful tool for unravelling the causal factors and analyzing the risk of occurrence of this disease in space and time (Guimarães et al, 2010).…”
Section: Discussionmentioning
confidence: 99%
“…In particular, these techniques have been used to model diseases such as schistosomiasis in studies developed by Guimarães et al (2009Guimarães et al ( , 2010Guimarães et al ( , 2012 to estimate the spatial distribution of Biomphalaria snails in the state of Minas Gerais. Furthermore, Scholte et al (2012) used modelling based on environmental characteristics with this aim in the whole country.…”
Section: Geospatial Healthmentioning
confidence: 99%
“…The presence of Biomphalaria species was previously reported in the municipalities of Piau, Rio Novo and Juiz de Fora 15,18,31 , although considering their geographical location, only Juiz de Fora has been surveyed 18 . Models to estimate the prevalence of schistosomiasis have been perfomed in the State of Minas Gerais 14,[32][33][34] and in some Estrada Real municipalities 16 , but in both studies, due to lack of georeferenced information for Biomphalaria, only data concerning the prevalence of human schistosomiasis and Biomphalaria species in relation to the municipality were used. In this study, all the sites where the occurrence of Biomphalaria was verified were mapped using GPS.…”
Section: Discussionmentioning
confidence: 99%
“…Knowing the exact location of the breeding/water collections of the intermediate host participant in the chain of transmission of schistosomiasis permits greater flexibility in structuring measures for disease control. Moreover, these data may favor the use of geostatistical techniques, generating predictive values for the occurrence of Biomphalaria at sites in the region with no information regarding the intermediate hosts 34,35 , which could contribute to the drafting of a map of Biomphalaria snails in the State of Minas Gerais.…”
Section: Discussionmentioning
confidence: 99%