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Spatial Pattern of Diarrhea Based on Regional Economic and Environment by Spatial Autoregressive Model

机译:基于空间自回归模型的基于区域经济和环境的腹泻空间模式

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The diarrhea case pattern information, especially for toddler, is very important. It is used to show the distribution of diarrhea in every region, relationship among that locations, and regional economic characteristic or environmental behavior. So, this research uses spatial pattern to perform them. This method includes:Moran's I, Spatial Autoregressive Models (SAR), and Local Indicator of Spatial Autocorrelation (LISA). It uses sample from 23 sub districts of Bekasi Regency, West Java, Indonesia. Diarrhea case, regional economic, and environmental behavior of households have a spatial relationship among sub district. SAR shows that the percentage of Regional Gross Domestic Product is significantly effect on diarrhea at α = 10%. Therefore illiteracy and health center facilities are significant at α=5%. With LISA test, sub districts in southern Bekasi have high dependencies with Cikarang Selatan, Serang Baru, and Setu. This research also builds development application that is based on java and R to support data analysis.
机译:腹泻案例模式信息,特别是幼儿,非常重要。它用于显示每个地区的腹泻的分布,该地区之间的关系以及区域经济特征或环境行为。因此,该研究使用空间模式来执行它们。这种方法包括:Moran的I,空间自动增加模型(SAR)和空间自相关的局部指标(LISA)。它使用来自印度尼西亚西爪哇省西爪哇省的23个分区的示例。腹泻案,家庭的区域经济和环境行为在亚区之间存在空间关系。 SAR表明,区域总产值的百分比对α= 10%的腹泻显着影响。因此,文盲和健康中心设施在α= 5%方面具有重要意义。凭借丽莎考试,贝卡西南部的子地区与Cikarang Selatan,Serang Baru和Setu有很高的依赖性。该研究还构建了基于Java和R的开发应用程序来支持数据分析。

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