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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

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 nic...

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Autores principales: de Almeida, Paulo Silva, Sciamarelli, Alan, Batista, Paulo Mira, Ferreira, Ademar Dimas, Nascimento, João, Raizer, Josué, Andrade, José Dilermando, Gurgel-Gonçalves, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Oswaldo Cruz, Ministério da Saúde 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005557/
https://www.ncbi.nlm.nih.gov/pubmed/24402151
http://dx.doi.org/10.1590/0074-0276130331
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author de Almeida, Paulo Silva
Sciamarelli, Alan
Batista, Paulo Mira
Ferreira, Ademar Dimas
Nascimento, João
Raizer, Josué
Andrade, José Dilermando
Gurgel-Gonçalves, Rodrigo
author_facet de Almeida, Paulo Silva
Sciamarelli, Alan
Batista, Paulo Mira
Ferreira, Ademar Dimas
Nascimento, João
Raizer, Josué
Andrade, José Dilermando
Gurgel-Gonçalves, Rodrigo
author_sort de Almeida, Paulo Silva
collection PubMed
description 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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spelling pubmed-40055572014-05-21 Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil de Almeida, Paulo Silva Sciamarelli, Alan Batista, Paulo Mira Ferreira, Ademar Dimas Nascimento, João Raizer, Josué Andrade, José Dilermando Gurgel-Gonçalves, Rodrigo Mem Inst Oswaldo Cruz Articles 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. Instituto Oswaldo Cruz, Ministério da Saúde 2013-10-02 2013-12 /pmc/articles/PMC4005557/ /pubmed/24402151 http://dx.doi.org/10.1590/0074-0276130331 Text en http://creativecommons.org/licenses/by-nc/3.0/ 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.
spellingShingle Articles
de Almeida, Paulo Silva
Sciamarelli, Alan
Batista, Paulo Mira
Ferreira, Ademar Dimas
Nascimento, João
Raizer, Josué
Andrade, José Dilermando
Gurgel-Gonçalves, Rodrigo
Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil
title Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil
title_full Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil
title_fullStr Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil
title_full_unstemmed Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil
title_short Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil
title_sort predicting the geographic distribution of lutzomyia longipalpis (diptera: psychodidae) and visceral leishmaniasis in the state of mato grosso do sul, brazil
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005557/
https://www.ncbi.nlm.nih.gov/pubmed/24402151
http://dx.doi.org/10.1590/0074-0276130331
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