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遥感与地理信息系统以及巴西巴伊亚州美洲内脏利什曼病的风险

Remote Sensing and Geographic Information Systems and risk of American visceral leishmaniasis in Bahia, Brazil.

作者信息

Bavia M E, Carneiro D D Madureira Trabuco, Gurgel H da Costa, Madureira Filho C, Barbosa M G Rodrigues

机构信息

Universidade Federal da Bahia, Brasil.

出版信息

Parassitologia. 2005 Mar;47(1):165-9.

PMID:16044686
Abstract

The spatial distribution of American visceral leishmaniasis (VL) was studied within the context of the environmental characteristics of northwest Bahia State in Brazil during an epidemic year. Geographic Information Systems (GIS) and Remote Sensing (RS) were used to characterize the landscape epidemiology of VL in order to identify and map high risk areas and endemic zones in a northwestern Bahia study area. Normalized Difference Vegetation Index (NDVI) was shown to be one of the most important risk factors in the area of study. Low NDVI values were related to high numbers of sand flies and high numbers of human and canine VL positive cases. Caatinga vegetation type was the dominant vegetation type in the endemic area. The use of RS and GIS allowed the identification of classes of VL risk that may be useful information to guide control program interventions.

摘要

在巴西巴伊亚州西北部疫情流行的一年里,结合该地区的环境特征,对美洲内脏利什曼病(VL)的空间分布进行了研究。利用地理信息系统(GIS)和遥感(RS)技术来描述VL的景观流行病学特征,以便在巴伊亚州西北部的研究区域内识别和绘制高风险区域及流行区地图。研究表明,归一化植被指数(NDVI)是研究区域内最重要的风险因素之一。低NDVI值与大量的白蛉以及大量的人类和犬类VL阳性病例相关。卡廷加植被类型是流行地区的主要植被类型。RS和GIS的应用有助于识别VL风险类别,这些信息可能对指导控制项目干预措施有用。

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