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Habitat suitability mapping of Anopheles darlingi in the surroundings of the Manso hydropower plant reservoir, Mato Grosso, Central Brazil.

Zeilhofer P, dos Santos ES, Ribeiro AL, Miyazaki RD, dos Santos MA - Int J Health Geogr (2007)

Bottom Line: Vector absence was associated with open vegetation formations such as grasslands and agricultural areas.We suppose that non-significant differences of vector incidences between rainy and dry seasons are associated with the availability of anthropogenic breeding habitat of the reservoir throughout the year.Vector presence is significantly increased in forested areas near reservoirs in bays protected from wind and wave action.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Geography, Federal University of Mato Grosso, Cuiabá, Brazil. pitalike@terra.com.br

ABSTRACT

Background: Hydropower plants provide more than 78 % of Brazil's electricity generation, but the country's reservoirs are potential new habitats for main vectors of malaria. In a case study in the surroundings of the Manso hydropower plant in Mato Grosso state, Central Brazil, habitat suitability of Anopheles darlingi was studied. Habitat profile was characterized by collecting environmental data. Remote sensing and GIS techniques were applied to extract additional spatial layers of land use, distance maps, and relief characteristics for spatial model building.

Results: Logistic regression analysis and ROC curves indicate significant relationships between the environment and presence of An. darlingi. Probabilities of presence strongly vary as a function of land cover and distance from the lake shoreline. Vector presence was associated with spatial proximity to reservoir and semi-deciduous forests followed by Cerrado woodland. Vector absence was associated with open vegetation formations such as grasslands and agricultural areas. We suppose that non-significant differences of vector incidences between rainy and dry seasons are associated with the availability of anthropogenic breeding habitat of the reservoir throughout the year.

Conclusion: Satellite image classification and multitemporal shoreline simulations through DEM-based GIS-analyses consist in a valuable tool for spatial modeling of A. darlingi habitats in the studied hydropower reservoir area. Vector presence is significantly increased in forested areas near reservoirs in bays protected from wind and wave action. Construction of new reservoirs under the tropical, sub-humid climatic conditions should therefore be accompanied by entomologic studies to predict the risk of malaria epidemics.

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Figure 1: Study area.

Mentions: In the present study we report on our experience of applying satellite-based remote sensing of vegetation and land-use cover and geographic information system (GIS) analytic techniques based on DEM to the study of habitat suitability of the malaria vector Anopheles darlingi Root. In our study area, the Manso hydropower plant influence area in the Central south of Mato Grossso state (Central Brazil), malaria is not endemic, but in 2006, a case was reported for the "Bom Jardim" settlement (Fig. 1). Despite the resettled former inhabitants of the areas flooded by the reservoir, the study area is frequently visited by tourists, mainly from the city of Cuiabá, which use the lake for recreation purposes on weekends. As monkey fauna, which is believed to be the main animal host of malaria parasites, is common in the Cerrado woodlands and gallery forests [32], presented habitat evaluation should be considered a potential transmission risk assessment. Our focus is on the influence of the Manso hydropower plant reservoir on vector incidence, applying logistic regressions and testing model sensitivity and specificity by ROC curves. Spatial and temporal distribution of the vector is related to reservoir climatic and environmental factors (temperature, humidity, rainfall, land cover, distance to potential reproduction habitat, reservoir shoreline morphology) in order to present a detailed map of vector habitat suitability which could provide the basis for the development of a malaria early warning system.


Habitat suitability mapping of Anopheles darlingi in the surroundings of the Manso hydropower plant reservoir, Mato Grosso, Central Brazil.

Zeilhofer P, dos Santos ES, Ribeiro AL, Miyazaki RD, dos Santos MA - Int J Health Geogr (2007)

Study area.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC1851006&req=5

Figure 1: Study area.
Mentions: In the present study we report on our experience of applying satellite-based remote sensing of vegetation and land-use cover and geographic information system (GIS) analytic techniques based on DEM to the study of habitat suitability of the malaria vector Anopheles darlingi Root. In our study area, the Manso hydropower plant influence area in the Central south of Mato Grossso state (Central Brazil), malaria is not endemic, but in 2006, a case was reported for the "Bom Jardim" settlement (Fig. 1). Despite the resettled former inhabitants of the areas flooded by the reservoir, the study area is frequently visited by tourists, mainly from the city of Cuiabá, which use the lake for recreation purposes on weekends. As monkey fauna, which is believed to be the main animal host of malaria parasites, is common in the Cerrado woodlands and gallery forests [32], presented habitat evaluation should be considered a potential transmission risk assessment. Our focus is on the influence of the Manso hydropower plant reservoir on vector incidence, applying logistic regressions and testing model sensitivity and specificity by ROC curves. Spatial and temporal distribution of the vector is related to reservoir climatic and environmental factors (temperature, humidity, rainfall, land cover, distance to potential reproduction habitat, reservoir shoreline morphology) in order to present a detailed map of vector habitat suitability which could provide the basis for the development of a malaria early warning system.

Bottom Line: Vector absence was associated with open vegetation formations such as grasslands and agricultural areas.We suppose that non-significant differences of vector incidences between rainy and dry seasons are associated with the availability of anthropogenic breeding habitat of the reservoir throughout the year.Vector presence is significantly increased in forested areas near reservoirs in bays protected from wind and wave action.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Geography, Federal University of Mato Grosso, Cuiabá, Brazil. pitalike@terra.com.br

ABSTRACT

Background: Hydropower plants provide more than 78 % of Brazil's electricity generation, but the country's reservoirs are potential new habitats for main vectors of malaria. In a case study in the surroundings of the Manso hydropower plant in Mato Grosso state, Central Brazil, habitat suitability of Anopheles darlingi was studied. Habitat profile was characterized by collecting environmental data. Remote sensing and GIS techniques were applied to extract additional spatial layers of land use, distance maps, and relief characteristics for spatial model building.

Results: Logistic regression analysis and ROC curves indicate significant relationships between the environment and presence of An. darlingi. Probabilities of presence strongly vary as a function of land cover and distance from the lake shoreline. Vector presence was associated with spatial proximity to reservoir and semi-deciduous forests followed by Cerrado woodland. Vector absence was associated with open vegetation formations such as grasslands and agricultural areas. We suppose that non-significant differences of vector incidences between rainy and dry seasons are associated with the availability of anthropogenic breeding habitat of the reservoir throughout the year.

Conclusion: Satellite image classification and multitemporal shoreline simulations through DEM-based GIS-analyses consist in a valuable tool for spatial modeling of A. darlingi habitats in the studied hydropower reservoir area. Vector presence is significantly increased in forested areas near reservoirs in bays protected from wind and wave action. Construction of new reservoirs under the tropical, sub-humid climatic conditions should therefore be accompanied by entomologic studies to predict the risk of malaria epidemics.

Show MeSH
Related in: MedlinePlus