| Author | Almeida, Paulo Silva de | |
| Author | Sciamarelli, Alan | |
| Author | Batista, Paulo Mira | |
| Author | Ferreira, Ademar Dimas | |
| Author | Nascimento, João | |
| Author | Raizer, Josué | |
| Author | Andrade Filho, José Dilermando | |
| Author | Gonçalves, Rodrigo Gurgel | |
| Access date | 2018-11-12T12:56:50Z | |
| Available date | 2018-11-12T12:56:50Z | |
| Document date | 2013 | |
| Citation | 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. Mem. Inst. Oswaldo Cruz, v. 108, n. 8, p. 992-996, 2013. | pt_BR |
| ISSN | 0074-0276 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/29986 | |
| Language | por | pt_BR |
| Publisher | Fundação Oswaldo Cruz | pt_BR |
| Rights | open access | pt_BR |
| Subject in Portuguese | Lutzomyia longipalpis | pt_BR |
| Subject in Portuguese | leishmaniose visceral | pt_BR |
| Title | Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil | pt_BR |
| Type | Article | pt_BR |
| DOI | 10.1590/0074-0276130331 | |
| 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. | pt_BR |
| Affilliation | Universidade Federal da Grande Dourados. Faculdade de Ciências Biológicas e Ambientais. Dourados, MS, Brasil/Secretaria de Estado de Saúde. Coordenadoria de Controle de Vetores. Campo Grande, MS, Brasil | pt_BR |
| Affilliation | Universidade Federal da Grande Dourados. Faculdade de Ciências Biológicas e Ambientais. Dourados, MS, Brasil | pt_BR |
| Affilliation | Secretaria de Estado de Saúde. Diretoria Geral de Vigilância em Saúde. Gerência de Zoonoses. Campo Grande, MS, Brasil | pt_BR |
| Affilliation | Secretaria de Estado de Saúde. Coordenadoria de Controle de Vetores. Campo Grande, MS, Brasil | pt_BR |
| Affilliation | Secretaria de Estado de Saúde. Coordenadoria de Controle de Vetores. Campo Grande, MS, Brasil | pt_BR |
| Affilliation | Universidade Federal da Grande Dourados. Faculdade de Ciências Biológicas e Ambientais. Dourados, MS, Brasil | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, MG, Brasil | pt_BR |
| Affilliation | Universidade de Brasília. Faculdade de Medicina. Laboratório de Parasitologia Médica e Biologia de Vetores. Brasília, DF, Brasil | pt_BR |
| Subject | Lutzomyia longipalpis | pt_BR |
| Subject | Lutzomyia longipalpis | pt_BR |
| Subject | Maxent | pt_BR |
| Subject | climatic niches. | pt_BR |
| xmlui.metadata.dc.subject.ods | 13 Ação contra a mudança global do clima | |
