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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
Almeida, Paulo Silva de; Sciamarelli, Alan; Batista, Paulo Mira; Ferreira, Ademar Dimas; Nascimento, Joao; Raizer, Josue; Andrade Filho, Jose Dilermando; Gurgel-Goncalves, Rodrigo.
Affiliation
  • Almeida, Paulo Silva de; Universidade Federal da Grande Dourados. Faculdade de Ciencias Biologicas e Ambientais. Dourados. BR
  • Sciamarelli, Alan; Universidade Federal da Grande Dourados. Faculdade de Ciencias Biologicas e Ambientais. Dourados. BR
  • Batista, Paulo Mira; Universidade Federal da Grande Dourados. Faculdade de Ciencias Biologicas e Ambientais. Dourados. BR
  • Ferreira, Ademar Dimas; Universidade Federal da Grande Dourados. Faculdade de Ciencias Biologicas e Ambientais. Dourados. BR
  • Nascimento, Joao; Universidade Federal da Grande Dourados. Faculdade de Ciencias Biologicas e Ambientais. Dourados. BR
  • Raizer, Josue; Universidade Federal da Grande Dourados. Faculdade de Ciencias Biologicas e Ambientais. Dourados. BR
  • Andrade Filho, Jose Dilermando; Universidade Federal da Grande Dourados. Faculdade de Ciencias Biologicas e Ambientais. Dourados. BR
  • Gurgel-Goncalves, Rodrigo; Universidade Federal da Grande Dourados. Faculdade de Ciencias Biologicas e Ambientais. Dourados. BR
Mem. Inst. Oswaldo Cruz ; 108(8): 992-996, 6/dez. 2013. graf
Article in English | LILACS | ID: lil-697138
Responsible library: BR1.1
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.
Subject(s)


Full text: Available Collection: International databases Database: LILACS Main subject: Psychodidae / Insect Vectors Type of study: Prognostic study / Risk factors Limits: Animals / Humans Country/Region as subject: South America / Brazil Language: English Journal: Mem. Inst. Oswaldo Cruz Journal subject: Tropical Medicine / Parasitology Year: 2013 Document type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal da Grande Dourados/BR

Full text: Available Collection: International databases Database: LILACS Main subject: Psychodidae / Insect Vectors Type of study: Prognostic study / Risk factors Limits: Animals / Humans Country/Region as subject: South America / Brazil Language: English Journal: Mem. Inst. Oswaldo Cruz Journal subject: Tropical Medicine / Parasitology Year: 2013 Document type: Article Affiliation country: Brazil Institution/Affiliation country: Universidade Federal da Grande Dourados/BR
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