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利用遥感数据对孟加拉国疟疾病例进行分析。

Analysis of malaria cases in Bangladesh with remote sensing data.

作者信息

Rahman Atiqur, Kogan Felix, Roytman Leonid

机构信息

National Oceanic and Atmospheric Administration Cooperative Remote Sensing Science and Technology Center, The City College of New York, New York, New York, USA.

出版信息

Am J Trop Med Hyg. 2006 Jan;74(1):17-9.

PMID:16407340
Abstract

Epidemiologic data of malaria cases were correlated with satellite-based vegetation health (VH) indices to investigate if they can be used as proxy for monitoring malaria epidemics in Bangladesh. The VH indices were represented by the vegetation condition index (VCI) and the temperature condition index (TCI). The VCI and TCI estimate moisture and thermal conditions, respectively. Sensitivity of VCI and TCI was assessed using correlation and regression analysis. During cooler months (November-March) when mosquitoes are less active, the correlation was low. It increased considerably during the warm and wet season (April-October), reaching 0.7 for the TCI in early October and -0.66 for the VCI in mid September.

摘要

疟疾病例的流行病学数据与基于卫星的植被健康(VH)指数相关联,以调查这些指数是否可作为监测孟加拉国疟疾流行情况的替代指标。VH指数由植被状况指数(VCI)和温度状况指数(TCI)表示。VCI和TCI分别估算湿度和热状况。使用相关性和回归分析评估VCI和TCI的敏感性。在较凉爽的月份(11月至3月),蚊子活动较少,相关性较低。在温暖潮湿的季节(4月至10月),相关性显著增加,10月初TCI的相关性达到0.7,9月中旬VCI的相关性达到-0.66。

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