Author | Barros, Fábio Saito Monteiro de | |
Author | Aguiar, Ducinéia Barros de | |
Author | Freitas, Maria Goreti Rosa | |
Author | Moura, José Francisco Luitgards | |
Author | Gurgel, Helen da Costa | |
Author | Honório, Nildimar Alves | |
Author | Arruda, Mércia Eliane de | |
Author | Tsouris, Pantelis | |
Author | Vasconcelos, Simão Dias | |
Access date | 2020-03-10T10:40:42Z | |
Available date | 2020-03-10T10:40:42Z | |
Document date | 2007 | |
Citation | BARROS, Fábio Saito Monteiro de et al. Distribution summaries of malaria vectors in the northern Brazilian Amazon. Journal of Vector Ecology, v. 32, n. 2, p. 161-167, 2007. | pt_BR |
ISSN | 1081-1710 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/40261 | |
Language | eng | pt_BR |
Publisher | Wiley | pt_BR |
Rights | restricted access | pt_BR |
Subject in Portuguese | Malária | pt_BR |
Subject in Portuguese | Brasil | pt_BR |
Subject in Portuguese | Amazônia | pt_BR |
Subject in Portuguese | Modelo de previsão de distribuição | pt_BR |
Subject in Portuguese | Roraima | pt_BR |
Subject in Portuguese | Anopheles | pt_BR |
Title | Distribution summaries of malaria vectors in the northern Braziian Amazon | pt_BR |
Type | Article | pt_BR |
DOI | 10.3376/1081-1710(2007)32[161:dsomvi]2.0.co;2 | pt_BR |
Abstract | Knowledge of vector distribution is important for the design of effective local malaria control programs. Here we apply ecological niche modeling to analyze and predict the distributions of malaria vectors based on entomological collection points in the State of Roraima in the northern Brazilian Amazon Basin. Anopheline collections were conducted from 1999 to 2003 at 76 localities, all with active malaria transmission. A total of 13 anopheline species was identified from 17,074 adult females collected: Anopheles darlingi, An. albitarsis s.l., An. nuneztovari, An. triannulatus s.l., An. braziliensis, An. peryassui, An. oswaldoi s.l., An. mattogrossensis, An. strodei, An. evansae, An. squamifemur, An. mediopunctatus s.l., An. intermedius. Anopheles darlingi, and An. albitarsis were the most frequently found species. An. squamifemur was found for the first time in Roraima. A distributional prediction model (genetic algorithm for rule-set prediction-GARP) and environmental variables were used to predicted potential distribution range for six anopheline species that occurred at ≥ 19 collection points. The method allows for the application of moderate sample sizes to produce distribution maps of vector species that could be used to maximize efficiency of surveys and optimize use of economic resources in epidemiology and control. | pt_BR |
Affilliation | Universidade Federal de Pernambuco. Centro de Ciências Biológicas. Departamento de Zoologia. Recife, PE, Brasil. | pt_BR |
Affilliation | Secretaria de Estado da Saúde de Roraima. Núcleo Estadual de Entomologia. Boa Vista, RO, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Departamento de Entomologia. Laboratório de Transmissores de Hematozoários. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade Federal de Roraima. Centro de Ciências Biológicas e da Saúde. Núcleo Avançado de Vetores. Boa Vista, RR, Brasil. | pt_BR |
Affilliation | US ESPACE. Institut de Recherche pour le Développement (IRD), France. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Departamento de Entomologia. Laboratório de Transmissores de Hematozoários. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas Aggeu Magalhães. Laboratório de Imunoepidemiologia. Recife, PE, Brasil. | pt_BR |
Affilliation | Universidade Federal de Roraima. Centro de Ciências Biológicas e da Saúde. Núcleo Avançado de Vetores. Boa Vista, RR, Brasil. | pt_BR |
Affilliation | Universidade Federal de Pernambuco. Centro de Ciências Biológicas. Departamento de Zoologia. Recife, PE, Brasil. | pt_BR |
Subject | Distribution prediction model | pt_BR |
Subject | Malaria | pt_BR |
Subject | Anopheles | pt_BR |
Subject | Amazon | pt_BR |
Subject | Roraima | pt_BR |
Subject | Brazil | pt_BR |
e-ISSN | 1948-7134 | |
Embargo date | 2025-01-01 | |