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Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh

机译:卫星和气象数据在孟加拉国流行地区疟疾预测中的适用性比较分析

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摘要

Relationships between yearly malaria incidence and (1) climate data from weather station and (2) satellite-based vegetation health (VH) indices were investigated for prediction of malaria vector activities in Bangladesh. Correlation analysis of percent of malaria cases with Advanced Very High Resolution Radiometer- (AVHRR-) based VH indices represented by the vegetation condition index (VCI—moisture condition) and the temperature condition index (TCI—estimates thermal condition) and with rainfall, relative humidity, and temperature from ground-based meteorological stations. Results show that climate data from weather stations are poorly correlated and are not applicable to estimate prevalence in Bangladesh. The study also has shown that AVHRR-based vegetation health (VH) indices are highly applicable for malaria trend assessment and also for the estimation of the total number of malaria cases in Bangladesh for the period of 1992–2001.
机译:研究了年度疟疾发病率与(1)来自气象站的气候数据和(2)基于卫星的植被健康(VH)指数之间的关系,以预测孟加拉国的疟疾媒介活动。与基于植被状况指数(VCI-水分状况)和温度状况指数(TCI-估计热状况)代表的基于降雨的降雨相关的疟疾病例百分率与基于甚高甚高分辨率辐射计(AVHRR-)的VH指数之间的相关性地面气象站的湿度和温度。结果表明,气象站的气候数据相关性很差,不适用于估计孟加拉国的流行率。研究还表明,基于AVHRR的植被健康(VH)指数非常适用于疟疾趋势评估以及1992-2001年孟加拉国疟疾总数的估计。

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