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Application of CIS-Based Spatial Filtering Method for Neural Tube Defects Disease Mapping

机译:基于CIS的空间滤波方法在神经管缺陷疾病图谱中的应用

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摘要

This study is to assess the prevalence rates spatial pattern of neural tube defects with geographic information system and spatial filtering technique. A total of 80 infants who diagnosed from neural tube defects in the area being studied between 1998and 2001 were analyzed. Firstly, the geographic information system (GIS) software ArcGIS was used to map the crude prevalence rates. Secondly, the data were smoothed by the method of spatial filtering. We evaluated that the effect of changes in spatialfiltering radius size was assessed by creating maps based on various filtering radius sizes. The 3 miles or larger filtering radius gives better section variability than the 2 and 2.5 miles or smaller ones. The maps produced by the spatial filtering technique indicate that prevalence rates in the villages in the southeastern region are to produce higher prevalence than that in the other regions. The smoothed maps based on Heshun County display a more adequate data representation than the raw prevalencerate map.
机译:本研究旨在利用地理信息系统和空间过滤技术评估神经管缺陷的患病率空间格局。在1998年至2001年之间,对80例从神经管缺损诊断出的婴儿进行了分析。首先,使用地理信息系统(GIS)软件ArcGIS来绘制粗略流行率。其次,通过空间滤波对数据进行平滑处理。我们评估了通过基于各种过滤半径大小创建地图来评估空间过滤半径大小变化的影响。 3英里或更大的过滤半径比2英里和2.5英里或更小的过滤半径具有更好的截面可变性。通过空间过滤技术绘制的地图表明,东南部地区的村庄中的患病率要高于其他地区。与原始患病率地图相比,基于和顺县的平滑地图显示出更充分的数据表示。

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