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      Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil

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          Abstract

          To understand the geographic distribution of visceral leishmaniasis (VL) in the state of Mato Grosso do Sul (MS), Brazil, both the climatic niches of Lutzomyia longipalpis and VL cases were analysed. Distributional data were obtained from 55 of the 79 counties of MS between 2003-2012. Ecological niche models (ENM) of Lu. longipalpis and VL cases were produced using the maximum entropy algorithm based on eight climatic variables. Lu. longipalpis showed a wide distribution in MS. The highest climatic suitability for Lu. longipalpis was observed in southern MS. Temperature seasonality and annual mean precipitation were the variables that most influenced these models. Two areas of high climatic suitability for the occurrence of VL cases were predicted: one near Aquidauana and another encompassing several municipalities in the southeast region of MS. As expected, a large overlap between the models for Lu. longipalpis and VL cases was detected. Northern and northwestern areas of MS were suitable for the occurrence of cases, but did not show high climatic suitability for Lu. longipalpis . ENM of vectors and human cases provided a greater understanding of the geographic distribution of VL in MS, which can be applied to the development of future surveillance strategies.

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          Most cited references72

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          Manual de vigilância e controle da leishmaniose visceral

          MS Brasil (2006)
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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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              Geographical distributions of spiny pocket mice in South America: insights from predictive models

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                Author and article information

                Journal
                Mem Inst Oswaldo Cruz
                Mem. Inst. Oswaldo Cruz
                Memórias do Instituto Oswaldo Cruz
                Instituto Oswaldo Cruz, Ministério da Saúde
                0074-0276
                1678-8060
                02 October 2013
                December 2013
                : 108
                : 8
                : 992-996
                Affiliations
                [1 ]Faculdade de Ciências Biológicas e Ambientais, Universidade Federal da Grande Dourados, Brasil, Dourados, MS, Faculdade de Ciências Biológicas e Ambientais , Universidade Federal da Grande Dourados, Dourados, MS, Brasil
                [2 ]Gerência de Zoonoses, Diretoria Geral de Vigilância em Saúde, Secretaria de Estado de Saúde, Brasil, Campo Grande, MS, Gerência de Zoonoses , Diretoria Geral de Vigilância em Saúde, Secretaria de Estado de Saúde, Campo Grande, MS, Brasil
                [3 ]Coordenadoria de Controle de Vetores, Secretaria de Estado de Saúde, Campo Grande, MS, Brasil
                [4 ]Centro de Pesquisas René Rachou - Fiocruz, Belo Horizonte, MG, Brasil
                [5 ]Laboratório de Parasitologia Médica e Biologia de Vetores, Faculdade de Medicina, Universidade de Brasília, Brasília, DF, Brasil
                Author notes
                + Corresponding author: rgurgel@ 123456unb.br

                Financial support: CAPES

                Article
                0074-0276130331
                10.1590/0074-0276130331
                4005557
                24402151
                0c07df5b-a515-407a-a6b2-ea30b039dc13

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 June 2013
                : 29 October 2013
                Page count
                Figures: 2, References: 39, Pages: 5
                Categories
                Articles

                lutzomyia longipalpis,visceral leishmaniasis,maxent,climatic niches

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