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

Guimarães, Ricardo José de Paula Souza e; Freitas, Corina da Costa; Dutra, Luciano Vieira; Moura, Ana Clara Mourão; Amaral, Ronaldo; Drummond, Sandra; Guerra, M. P.; Scholte, Ronaldo Guilherme Carvalho; Carvalho, Omar S.

doi:10.1590/s0074-02762006000900014

Cited by 22 publications

(15 citation statements)

References 22 publications

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“…The use of the geographical information system -or geoprocessing -in planning the fight against and evaluation of the risks of the spread of schistosomiasis has also been the subject of studies in Brazil [26][27][28][29][30] . In general, the results of these studies bring together such diversified parameters such as the characteristics of the vegetation, temperature changes, availability of water collections, occurrence of species of intermediate hosts, as well as the distribution of cases and foci.…”

Section: Discussionmentioning

confidence: 99%

Assessment of control and epidemiologic details of the schistosomiasis mansoni in Bananal, São Paulo, Brazil

Teles

Ferreira

Carvalho

2014

Rev. bras. epidemiol.

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AbstrAct:The purpose of our study in the municipality of Bananal, state of São Paulo, Brazil, was to stop the transmission of schistosomiasis mansoni. Particular emphasis was given to such items as the active surveillance and eventual treatment of hosts, mapping parasite foci, and increasing the extent of basic sanitation in the municipality. Now, our records indicate that the eradication of schistosomiasis in the municipality of Bananal is attainable. However, as the vector Biomphalaria tenagophila can still be found in some water bodies within this municipality, it remains included in the area where schistosomiasis is endemic, which calls for very strict measures to avoid the human cases of schistososomiasis. The expansion of the coverage of the basic sanitation network and treatment of Schistosoma mansoni cases diagnosed during periodic surveys are part of the plans to eradicate schistosomiasis in Bananal.

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Section: Discussionmentioning

confidence: 99%

Assessment of control and epidemiologic details of the schistosomiasis mansoni in Bananal, São Paulo, Brazil

Teles

Ferreira

Carvalho

2014

Rev. bras. epidemiol.

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“…The equation of estimated Pv showed that Tmin_S, Tmin_W (meteorological) and vegetation (remote sensing) were useful variables for the study of schistosomiasis. These same variables were used by Guimarães et al (2006Guimarães et al ( , 2008 to develop a forecast map for schistosomiasis mansoni in MG.…”

Section: Discussionmentioning

confidence: 99%

The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism

Carvalho¹,

Scholte²,

Guimarães³

et al. 2010

Mem. Inst. Oswaldo Cruz

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“…Data on socioeconomic, demographic and sanitation variables (Groups 1 and 2) were provided by the Sistema Nacional de Indicadores Urbanos (SNIU 2005); some of the human development indices were previously used by Guimarães et al (2006). These variables range from 0-1 and are sometimes expressed as percentages.…”

Section: Methodsmentioning

confidence: 99%

Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators

Martins-Bedé

Dutra

Freitas

et al. 2010

Mem. Inst. Oswaldo Cruz

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Schistosomiasis mansoni is not just a physical disease, but is related to social and behavioural factors as well. Snails of the Biomphalaria genus are an intermediate host for Schistosoma mansoni and infect humans through water. The objective of this study is to classify the risk of schistosomiasis in the state of Minas Gerais (MGThe disease is related to social and behavioural factors, particularly inadequate public and environmental sanitation and a low level of education about health in the populations involved (Doumenge et al. 1987).Once schistosomiasis risk is identified by both environmental and social factors, new computerised analytical tools, known as Geographic Information Systems and Remote Sensing Data Analysis, have been used to map epidemiological data or analyse satellite images .In Brazil, geo-processing tools have been used in the study of schistosomiasis in the states of Bahia (BA) and Minas Gerais (MG). These studies have provided risk maps for schistosomiasis infection on a municipality basis by using multiple regression analyses that include environmental features, a priori disease prevalence data and other spatial data (Bavia et al. 1999, 2008, Martins-Bedê et al. 2009).In the present paper, a standard data-mining technique, the decision tree, was used to identify the severity of disease prevalence. This technique is based on a recursive Predictive models are used to classify different samples whose values or labels are not known. In this paper, a decision tree model is used to classify the schistosomiasis prevalence risk for the whole state. Remote sensing data and spatial sociological indicators are used to map potential risk areas which are not covered by the schistosomiasis control program. This map of potential risk areas can be used by a decision maker to evaluate municipalities outside of the program that have similar environmental and social conditions to the municipalities covered by the program. Moreover, the map can serve as a guide for future disease-control efforts in the state. MATERIALS AND METHODSStudy area -The study area was MG, Brazil. MG is 590,000 square kilometres in size and is politically divided into 853 cities; the area has a tropical climate and includes approximately 18 million inhabitants (IBGE 2008).

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

Cited by 22 publications

References 22 publications

Assessment of control and epidemiologic details of the schistosomiasis mansoni in Bananal, São Paulo, Brazil

Assessment of control and epidemiologic details of the schistosomiasis mansoni in Bananal, São Paulo, Brazil

The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism

Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators

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