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基于多光谱卫星数据对伯利兹疟疾媒介分布的预测。

Predictions of malaria vector distribution in Belize based on multispectral satellite data.

作者信息

Roberts D R, Paris J F, Manguin S, Harbach R E, Woodruff R, Rejmankova E, Polanco J, Wullschleger B, Legters L J

机构信息

Department of Preventive Medicine/Biometrics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.

出版信息

Am J Trop Med Hyg. 1996 Mar;54(3):304-8. doi: 10.4269/ajtmh.1996.54.304.

Abstract

Use of multispectral satellite data to predict arthropod-borne disease trouble spots is dependent on clear understandings of environmental factors that determine the presence of disease vectors. A blind test of remote sensing-based predictions for the spatial distribution of a malaria vector, Anopheles pseudopunctipennis, was conducted as a follow-up to two years of studies on vector-environmental relationships in Belize. Four of eight sites that were predicted to be high probability locations for presence of An. pseudopunctipennis were positive and all low probability sites (0 of 12) were negative. The absence of An. pseudopunctipennis at four high probability locations probably reflects the low densities that seem to characterize field populations of this species, i.e., the population densities were below the threshold of our sampling effort. Another important malaria vector, An. darlingi, was also present at all high probability sites and absent at all low probability sites. Anopheles darlingi, like An. pseudopunctipennis, is a riverine species. Prior to these collections at ecologically defined locations, this species was last detected in Belize in 1946.

摘要

利用多光谱卫星数据预测节肢动物传播疾病的高发区域,取决于对决定病媒存在的环境因素的清晰理解。作为对伯利兹病媒与环境关系进行了两年研究的后续行动,对基于遥感的疟疾病媒伪点按蚊空间分布预测进行了一次盲测。预测为伪点按蚊存在高概率地点的8个地点中有4个呈阳性,所有低概率地点(12个中的0个)均为阴性。在4个高概率地点未发现伪点按蚊,这可能反映出该物种野外种群的低密度特征,即种群密度低于我们采样工作的阈值。另一种重要的疟疾病媒达林按蚊,在所有高概率地点也有出现,而在所有低概率地点均未出现。达林按蚊与伪点按蚊一样,是一种栖息于河流的物种。在这些在生态定义地点进行采集之前,该物种上一次在伯利兹被发现是在1946年。

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