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首页> 外文期刊>Journal of Remote Sensing & GIS >Assessing the Temporal and Spatial Dynamics of the Dengue Epidemic inNorthern Sri Lanka using Remote Sensing Data, GIS and Statistical Analysis
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Assessing the Temporal and Spatial Dynamics of the Dengue Epidemic inNorthern Sri Lanka using Remote Sensing Data, GIS and Statistical Analysis

机译：利用遥感数据，GIS和统计分析评估斯里兰卡北部登革热流行的时空动态

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摘要

Dengue outbreaks are affected by biological, ecological, socio-economic and demographic factors that vary with time and space. These spatial and temporal variables have been examined separately with some success, but still elude systematic understanding. The present study investigates the covariance of spatial and temporal factors for dengue outbreaks in the northern region of Sri Lanka. The relations identified herein demonstrate spatio-temporal dynamics of the disease and can inform surveillance and control strategies. Multi-satellite remote sensing (RS) data were used to construct an index comprising rainfall, humidity and temperature data. RS data gathered by ALOS/AVNIR-2 and a digital land cover map were used to extract land usage information. Other data on relevant factors and dengue outbreaks were collected through institutions and public databases. RS and other data were integrated and analysed for spatial association analysis and spatial statistics. Our findings show that a combination of ecological, socio-economic and demographic factors can predict spatial and temporal trends in dengue outbreaks.
机译：登革热暴发受到生物，生态，社会经济和人口因素的影响，这些因素随时间和空间而变化。这些空间和时间变量已分别进行了检查，但取得了一些成功，但仍无法系统地理解。本研究调查了斯里兰卡北部地区登革热暴发的时空因素的协方差。本文确定的关系证明了疾病的时空动态，可以为监视和控制策略提供依据。多卫星遥感（RS）数据用于构建包含降雨，湿度和温度数据的指标。使用ALOS / AVNIR-2收集的RS数据和数字土地覆盖图提取土地使用信息。通过机构和公共数据库收集了其他有关因素和登革热暴发的数据。对RS和其他数据进行了整合和分析，以进行空间关联分析和空间统计。我们的发现表明，生态，社会经济和人口因素的结合可以预测登革热暴发的时空趋势。

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