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      Epidemiology of visceral leishmaniasis through spatial analysis, in Belo Horizonte municipality, state of Minas Gerais, Brazil

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          Abstract

          The geographic information system approach has permitted integration between demographic, socio-economic and environmental data, providing correlation between information from several data banks. In the current work, occurrence of human and canine visceral leishmaniases and insect vectors (Lutzomyia longipalpis) as well as biogeographic information related to 9 areas that comprise the city of Belo Horizonte, Brazil, between April 2001 and March 2002 were correlated and georeferenced. By using this technique it was possible to define concentration loci of canine leishmaniasis in the following regions: East; Northeast; Northwest; West; and Venda Nova. However, as for human leishmaniasis, it was not possible to perform the same analysis. Data analysis has also shown that 84.2% of the human leishmaniasis cases were related with canine leishmaniasis cases. Concerning biogeographic (altitude, area of vegetation influence, hydrographic, and areas of poverty) analysis, only altitude showed to influence emergence of leishmaniasis cases. A number of 4673 canine leishmaniasis cases and 64 human leishmaniasis cases were georeferenced, of which 67.5 and 71.9%, respectively, were living between 780 and 880 m above the sea level. At these same altitudes, a large number of phlebotomine sand flies were collected. Therefore, we suggest control measures for leishmaniasis in the city of Belo Horizonte, giving priority to canine leishmaniasis foci and regions at altitudes between 780 and 880 m.

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          Most cited references30

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          Lutzomyia vectors for cutaneous leishmaniasis in Southern Brazil: ecological niche models, predicted geographic distributions, and climate change effects.

          Geographic and ecological distributions of three Lutzomyia sand flies that are cutaneous leishmaniasis vectors in South America were analysed using ecological niche modelling. This new tool provides a large-scale perspective on species' geographic distributions, ecological and historical factors determining them, and their potential for change with expected environmental changes. As a first step, the ability of this technique to predict geographic distributions of the three species was tested statistically using two subsampling techniques: a random-selection technique that simulates 50% data density, and a quadrant-based technique that challenges the method to predict into broad unsampled regions. Predictivity under both test schemes was highly statistically significant. Visualisation of ecological niches provided insights into the ecological basis for distributional differences among species. Projections of potential geographic distributions across scenarios of global climate change suggested that only Lutzomyia whitmani is likely to be experiencing dramatic improvements in conditions in south-eastern Brazil, where cutaneous leishmaniasis appears to be re-emerging; Lutzomyia intermedia and Lutzomyia migonei may be seeing more subtle improvements in climatic conditions, but the implications are not straightforward. More generally, this technique offers the possibility of new views into the distributional ecology of disease, vector, and reservoir species.
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            Geoprocessamento, ambiente e saúde: uma união possível?

            O uso do geoprocessamento tem permitido a reunião de bancos de dados sócio-econômicos, de saúde e ambientais em bases espaciais. A interpretação dos resultados de associações entre variáveis epidemiológicas e ambientais depende, no entanto, do desenho do sistema de geoprocessamento. A escolha da escala e objeto de análise precede a concepção do sistema, condicionando os possíveis resultados estatísticos e visuais. Esta escala deve ser compatível com o fenômeno que se pretende enfocar, buscando-se uma homogeneidade interna e heterogeneidade externa das unidades de análise escolhidas. A interdependência de processos espaciais, que se refletem na sua configuração social, ambiental e epidemiológica, pode, se não adotada metodologia correta, impedir o estabelecimento de causas para processos simultâneos. O geoprocessamento permite, por outro lado, o entendimento do contexto em que se verificam fatores determinantes de agravos à saúde.
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              Spatial distribution of human and canine visceral leishmaniasis in Belo Horizonte, Minas Gerais State, Brasil, 1994-1997

              In this paper, we present spatial analysis of the association between all incidents cases of human Visceral Leishmaniasis and seropositive dogs, from 1994 to 1997 in Belo Horizonte, a large Brazilian city. We geocoded 158 human cases and 11,048 seropositive dogs and compared canine prevalence rates with Human Bayesian Incidence rates in the same areas. We also used Knox's test to evaluate the hypothesis of space-time clustering of human cases in the period. Additionally, we used Kernel's maps for seropositive dogs distribution and located the human cases in the resulting smooth maps. We concluded that human and dog rates are correlated. Also, the Visceral Leishmaniasis in Belo Horizonte spread quickly, but apart from the rates' magnitude, it has kept the same spatial pattern through time. We believe it is possible to use this technique to choose areas to implement control measures against Visceral Leishmaniasis in a more efficient way.
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                Author and article information

                Journal
                mioc
                Memórias do Instituto Oswaldo Cruz
                Mem. Inst. Oswaldo Cruz
                Instituto Oswaldo Cruz, Ministério da Saúde (Rio de Janeiro, RJ, Brazil )
                0074-0276
                1678-8060
                February 2006
                : 101
                : 1
                : 31-38
                Affiliations
                [01] Belo Horizonte MG orgnameFiocruz orgdiv1Centro de Pesquisas René Rachou Brasil
                [02] orgnameUFMG orgdiv1Instituto de Geociências orgdiv2Departamento de Cartografia
                [03] Belo Horizonte MG orgnameUFMG orgdiv1Departamento de Engenharia de Minas Brasil
                [04] Belo Horizonte MG orgnameSecretaria Municipal de Saúde de Belo Horizonte orgdiv1Departamento de Zoonoses Brasil
                Article
                S0074-02762006000100007 S0074-0276(06)10100107
                10.1590/S0074-02762006000100007
                5472a464-6ae8-4391-a06f-7d41512b9526

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 27 December 2005
                : 20 July 2005
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 33, Pages: 8
                Product

                SciELO Brazil

                Categories
                Articles

                Brazil,leishmaniasis,spatial analysis,geoprocessing,Belo Horizonte

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