Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UnB |
Texto Completo: | http://repositorio.unb.br/handle/10482/28700 https://dx.doi.org/10.1590/0074-0276130331 |
Resumo: | 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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Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, BrazilLutzomyia longipalpisLeishmaniose visceralDistribuição geográficaNicho (Ecologia)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.Faculdade de Medicina (FMD)Instituto Oswaldo Cruz, Ministério da Saúde2017-12-07T05:02:26Z2017-12-07T05:02:26Z2013-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfALMEIDA, Paulo Silva de et al. Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 108, n. 8, p. 992-996, dez. 2013. DOI: https://doi.org/10.1590/0074-0276130331. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762013000800992&lng=en&nrm=iso. Acesso em: 12 jan. 2021.http://repositorio.unb.br/handle/10482/28700https://dx.doi.org/10.1590/0074-0276130331Memórias do Instituto Oswaldo Cruz - 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 (CC BY NC 3.0). Fonte: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762013000800992&lng=en&tlng=en. Acesso em: 12 jan. 2021.info:eu-repo/semantics/openAccessAlmeida, Paulo Silva deSciamarelli, AlanBatista, Paulo MiraFerreira, Ademar DimasNascimento, JoãoRaizer, JosuéAndrade Filho, José DilermandoGonçalves, Rodrigo Gurgelengreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNB2023-08-25T18:42:00Zoai:repositorio.unb.br:10482/28700Repositório InstitucionalPUBhttps://repositorio.unb.br/oai/requestrepositorio@unb.bropendoar:2023-08-25T18:42Repositório Institucional da UnB - Universidade de Brasília (UnB)false |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil Almeida, Paulo Silva de Lutzomyia longipalpis Leishmaniose visceral Distribuição geográfica Nicho (Ecologia) |
title_short |
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_sort |
Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil |
author |
Almeida, Paulo Silva de |
author_facet |
Almeida, Paulo Silva de Sciamarelli, Alan Batista, Paulo Mira Ferreira, Ademar Dimas Nascimento, João Raizer, Josué Andrade Filho, José Dilermando Gonçalves, Rodrigo Gurgel |
author_role |
author |
author2 |
Sciamarelli, Alan Batista, Paulo Mira Ferreira, Ademar Dimas Nascimento, João Raizer, Josué Andrade Filho, José Dilermando Gonçalves, Rodrigo Gurgel |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Almeida, Paulo Silva de Sciamarelli, Alan Batista, Paulo Mira Ferreira, Ademar Dimas Nascimento, João Raizer, Josué Andrade Filho, José Dilermando Gonçalves, Rodrigo Gurgel |
dc.subject.por.fl_str_mv |
Lutzomyia longipalpis Leishmaniose visceral Distribuição geográfica Nicho (Ecologia) |
topic |
Lutzomyia longipalpis Leishmaniose visceral Distribuição geográfica Nicho (Ecologia) |
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. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12 2017-12-07T05:02:26Z 2017-12-07T05:02:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ALMEIDA, Paulo Silva de et al. Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 108, n. 8, p. 992-996, dez. 2013. DOI: https://doi.org/10.1590/0074-0276130331. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762013000800992&lng=en&nrm=iso. Acesso em: 12 jan. 2021. http://repositorio.unb.br/handle/10482/28700 https://dx.doi.org/10.1590/0074-0276130331 |
identifier_str_mv |
ALMEIDA, Paulo Silva de et al. Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 108, n. 8, p. 992-996, dez. 2013. DOI: https://doi.org/10.1590/0074-0276130331. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762013000800992&lng=en&nrm=iso. Acesso em: 12 jan. 2021. |
url |
http://repositorio.unb.br/handle/10482/28700 https://dx.doi.org/10.1590/0074-0276130331 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Oswaldo Cruz, Ministério da Saúde |
publisher.none.fl_str_mv |
Instituto Oswaldo Cruz, Ministério da Saúde |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UnB instname:Universidade de Brasília (UnB) instacron:UNB |
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Universidade de Brasília (UnB) |
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UNB |
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UNB |
reponame_str |
Repositório Institucional da UnB |
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Repositório Institucional da UnB |
repository.name.fl_str_mv |
Repositório Institucional da UnB - Universidade de Brasília (UnB) |
repository.mail.fl_str_mv |
repositorio@unb.br |
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