de Barros Fábio Saito Monteiro, de Aguiar Ducinéia Barros, Rosa-Freitas Maria Goreti, Luitgards-Moura José Francisco, Gurgel Helen da Costa, Honório Nildimar Alves, de Arruda Mércia Eliane, Tsouris Pantelis, Vasconcelos Simão Dias
Departamento de Zoologia, Centro de Ciências Biológicas, Universidade Federal de Pernambuco, Recife, PE, Brasil.
J Vector Ecol. 2007 Dec;32(2):161-7. doi: 10.3376/1081-1710(2007)32[161:dsomvi]2.0.co;2.
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 > or = 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.
了解病媒分布对于设计有效的地方疟疾控制项目至关重要。在此，我们应用生态位建模，基于巴西北部亚马逊盆地罗赖马州的昆虫学采集点，分析和预测疟疾传播媒介的分布情况。1999年至2003年期间，在76个均有活跃疟疾传播的地点进行了按蚊采集。从采集的17,074只成年雌性按蚊中，共鉴定出13种按蚊：达林按蚊、白跗按蚊复合组、努涅斯按蚊、环纹按蚊复合组、巴西按蚊、佩亚苏伊按蚊、奥斯瓦尔多按蚊复合组、马托格罗索按蚊、斯特罗伊按蚊、埃文斯按蚊、鳞股按蚊、中斑按蚊复合组、中间按蚊。达林按蚊和白跗按蚊是最常见的种类。鳞股按蚊是在罗赖马首次发现。利用一种分布预测模型（规则集预测遗传算法-GARP）和环境变量，预测了在≥19个采集点出现的6种按蚊的潜在分布范围。该方法允许应用适度的样本量来生成病媒种类的分布图，这些分布图可用于提高调查效率，并在流行病学和控制中优化经济资源的利用。
