Meio ambiente e saúde: metodologia para análise espacial da ocorrência de malária em projetos de assentamento

Castro, Márcia C.; Singer, Burton H.

doi:10.1590/s0102-30982007000200005

Cited by 16 publications

(11 citation statements)

References 34 publications

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“…In tropical regions, such as the Amazon region, year-round high temperatures and precipitation favor malaria transmission [14-16,2]. Most studies have been large-scale surveys on a regional or country scale [14,17,7].…”

Section: Discussionmentioning

confidence: 99%

Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil

Oliveira¹,

Santos

Zeilhofer

et al. 2011

Malar J

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BackgroundIn Brazil, 99% of malaria cases are concentrated in the Amazon, and malaria's spatial distribution is commonly associated with socio-environmental conditions on a fine landscape scale. In this study, the spatial patterns of malaria and its determinants in a rural settlement of the Brazilian agricultural reform programme called "Vale do Amanhecer" in the northern Mato Grosso state were analysed.MethodsIn a fine-scaled, exploratory ecological study, geocoded notification forms corresponding to malaria cases from 2005 were compared with spectral indices, such as the Normalized Difference Vegetation Index (NDVI) and the third component of the Tasseled Cap Transformation (TC_3) and thematic layers, derived from the visual interpretation of multispectral TM-Landsat 5 imagery and the application of GIS distance operators.ResultsOf a total of 336 malaria cases, 102 (30.36%) were caused by Plasmodium falciparum and 174 (51.79%) by Plasmodium vivax. Of all the cases, 37.6% (133 cases) were from residents of a unique road. In total, 276 cases were reported for the southern part of the settlement, where the population density is higher, with notification rates higher than 10 cases per household. The local landscape mostly consists of open areas (38.79 km²). Training forest occupied 27.34 km² and midsize vegetation 7.01 km². Most domiciles with more than five notified malaria cases were located near areas with high NDVI values. Most domiciles (41.78%) and malaria cases (44.94%) were concentrated in areas with intermediate values of the TC_3, a spectral index representing surface and vegetation humidity.ConclusionsEnvironmental factors and their alteration are associated with the occurrence and spatial distribution of malaria cases in rural settlements.

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Section: Discussionmentioning

confidence: 99%

Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil

Oliveira¹,

Santos

Zeilhofer

et al. 2011

Malar J

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“…Since the beginning of this century, several authors have started to use these techniques also towards advancing human health (Campos et al, 2002;Fortes et al, 2004;Lourenço and Landim, 2005;Castro and Singer, 2007;Cardim et al, 2013;Samy et al, 2014). 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.…”

Section: Geospatial Healthmentioning

confidence: 99%

Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

Barbosa¹,

Guimarães²,

Loyo³

et al. 2016

Geospat Health

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The occurrence of schistosomiasis is directly linked to the presence of its snail intermediate host Biomphalaria spp. Knowledge of geographical distribution, habitats and behaviour of these snails in relation to the climate is essential for guiding measures for disease prevention and control. This study aims to model the distribution of B. glabrata and B. straminea in schistosomiasis non-endemic areas of the metropolitan region of Recife (MRR) based on environmental data and estimates of snail distributions in endemic and neighbouring areas. We applied Kriging with the aim of determining the spatial distribution of these two snail species and MaxEnt for modelling their ecological behaviour. Kriging showed that the North and the Centre of the MRR were generally either snail-free or contained only B. straminea, while both snail species could be found in the South. MaxEnt supported our observation that the northern and southern coastal regions were favoured by B. glabrata and diurnal mean temperature variation; July rainfall and November rainfall were the three variables favouring Biomphalaria breeding sites that contributed the most in the predictive model we developed. The study showed the location of areas suitable to Biomphalaria spp. and therefore at potential risk, first for invasion of these snails and later for the development of new schistosomiasis-endemic areas. This information should be useful, not only to estimate expansion possibilities of this disease in the MRR, but also to point out the climatic variables that would contribute to this expansion, thereby allowing timely application of prevention and control measures.

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“…Geralmente, nos anos iniciais, o assentamento apresenta alto risco para epidemias, determinado pelas transformações ambientais. Após dez anos, o perfil de alto risco passa a ser caracterizado pelos aspectos econômicos e comportamentais 28 . Estes fatores reforçam os achados do presente estudo, que demonstrou que os municípios com somente áreas de assentamentos tiveram maior risco de apresentar epidemias de malária do que os municípios com as demais áreas especiais.…”

Section: Epidemias Em Municípios Com áReas De Populações Com Caracterunclassified

Secular trends in the rate of low birth weight in Brazilian State Capitals in the period 1996 to 2010

et al. 2013

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Meio ambiente e saúde: metodologia para análise espacial da ocorrência de malária em projetos de assentamento

Cited by 16 publications

References 34 publications

Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil

Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil

Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

Secular trends in the rate of low birth weight in Brazilian State Capitals in the period 1996 to 2010

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