Using epidemiological survey data to infer geographic distributions of leishmaniasis vector species

Revista da Sociedade Brasileira de Medicina Tropical

A. Townsend Peterson²  Ricardo Scachetti Pereira¹  Vera Fonseca De Camargo Neves¹ 

[1] ,The University of Kansas Natural History Museum Lawrence Kansas ,USA

关键词: Ecological niche modeling;    Genetic algorithm for rule-set prediction;    Lutzomyia;    Leishmaniasis;    Modelagem de nicho ecológico;    Genetic algorithm for rule-set prediction;    Lutzomyia;    Leishmaniose;   

DOI  :  10.1590/S0037-86822004000100003

来源: SciELO

【 摘 要 】

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 São 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.

【 授权许可】

CC BY   
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