Using epidemiological survey data to infer geographic distributions of leishmaniasis vector species
Using epidemiological survey data to infer geographic distributions of leishmaniasis vector species
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DOI：
10.1590/s0037-86822004000100003
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发表时间：
2004-02-01
影响因子：
2
通讯作者：
Neves, Vera Fonseca de Camargo
中科院分区：
文献类型：
--
作者：
Peterson, A. Townsend;Pereira, Ricardo Scachetti;Neves, Vera Fonseca de Camargo
热带医学的一个重要方面是分析疾病传播风险的地理方面，由于缺乏详细的公共卫生数据，这往往必须减少到了解关键物种的分布，如病媒和水库。我们研究的适用性的一种新技术，生态位建模，了解这些物种的分布的挑战的基础上，在圣保罗州的一组5 Lutzomyia白蛉物种已被记录的城市。该技术，当测试的基础上独立的发生数据，产生了高度显着的预测物种的分布，有效的预测最小样本量约为40个城市。
An important aspect of tropical medicine is analysis of geographic aspects of risk of disease transmission, which for lack of detailed public health data must often be reduced to an understanding of the distributions of critical species such as vectors and reservoirs. We examine the applicability of a new technique, ecological niche modeling, to the challenge of understanding distributions of such species based on municipalities in the State of Sao Paulo in which a group of 5 Lutzomyia sandfly species have been recorded. The technique, when tested based on independent occurrence data, yielded highly significant predictions of species' distributions; minimum sample sizes for effective predictions were around 40 municipalities.