首页> 外文期刊>Journal of Remote Sensing & GIS >Mapping Minimum and Maximum Standard Deviation 3-Dimensionsional Slope Coefficients for Geo-spectrotemporally Iteratively Quantitatively Interpolating an End-member Proxy Signature of Cyanobacteria (Bluegreen Algae) for Eco-cartographically Delineating Cholera Risk in a Riverine Tributary Ecosystem in Ecuador
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Mapping Minimum and Maximum Standard Deviation 3-Dimensionsional Slope Coefficients for Geo-spectrotemporally Iteratively Quantitatively Interpolating an End-member Proxy Signature of Cyanobacteria (Bluegreen Algae) for Eco-cartographically Delineating Cholera Risk in a Riverine Tributary Ecosystem in Ecuador

机译:映射最小和最大标准偏差3维坡度系数,用于地理光谱时地定量定量内插蓝细菌(蓝藻)的末端成员代理签名,以便生态制图描绘厄瓜多尔河支流生态系统中的霍乱风险

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Cholera, caused by the bacteria Vibrio cholerae, hit Latin America after nearly a century in 1991. Ecuador was one of the most highly impacted regions by morbidity. While a number of infrastructural and socially relevant factors have been cited in cholera transmission, a growing body of work also points to the relevance of ecological factors, namely the presence and cycle of copepods and blue-green algae which may harbor the bacteria at certain times. The goal of this study was to demonstrate the utility of an interpolation technique which could be used alongside cholera case rate data to determine a predictive environmental signature for cholera risk areas in the future.
机译:由霍乱弧菌细菌引起的霍乱在1991年将近一个世纪后袭击了拉丁美洲。厄瓜多尔是发病率最高的地区之一。尽管霍乱传播中提到了许多与基础设施和社会相关的因素,但越来越多的工作也指出了生态因素的相关性,即co足类和蓝藻的存在和周期可能在某些时候藏有细菌。这项研究的目的是证明插值技术的实用性,该技术可与霍乱病例数数据一起用于确定未来霍乱风险地区的预测环境特征。

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