彭振仁, 韦洁, 陈碧艳, 黄秀宁, 宋鹏书, 梁丽芳, 韦慧, 丘小霞, 梁军荣, 何升. 基于地理信息系统的广西壮族自治区出生缺陷空间分析[J]. 疾病监测, 2022, 37(2): 262-268. DOI: 10.3784/jbjc.202104080184
引用本文: 彭振仁, 韦洁, 陈碧艳, 黄秀宁, 宋鹏书, 梁丽芳, 韦慧, 丘小霞, 梁军荣, 何升. 基于地理信息系统的广西壮族自治区出生缺陷空间分析[J]. 疾病监测, 2022, 37(2): 262-268. DOI: 10.3784/jbjc.202104080184
Peng Zhenren, Wei Jie, Chen Biyan, Huang Xiuning, Song Pengshu, Liang Lifang, Wei Hui, Qiu Xiaoxia, Liang Junrong, He Sheng. Spatial analysis on birth defects in Guangxi based on geographic information system[J]. Disease Surveillance, 2022, 37(2): 262-268. DOI: 10.3784/jbjc.202104080184
Citation: Peng Zhenren, Wei Jie, Chen Biyan, Huang Xiuning, Song Pengshu, Liang Lifang, Wei Hui, Qiu Xiaoxia, Liang Junrong, He Sheng. Spatial analysis on birth defects in Guangxi based on geographic information system[J]. Disease Surveillance, 2022, 37(2): 262-268. DOI: 10.3784/jbjc.202104080184

基于地理信息系统的广西壮族自治区出生缺陷空间分析

Spatial analysis on birth defects in Guangxi based on geographic information system

  • 摘要:
      目的  探索广西壮族自治区(广西)出生缺陷发病的空间分布特征,为出生缺陷防控策略和措施的制订提供科学依据。
      方法  建立2016 — 2020年广西出生缺陷空间数据库,利用克里金插值生成广西出生缺陷发病水平图,对发病率进行趋势面分析、空间自相关分析和热点分析。
      结果  趋势面分析显示,出生缺陷发生率在由西向东及由北向南均呈先上升后下降的变化趋势;全局空间自相关分析显示,出生缺陷发生率在空间上呈正相关分布(Moran's I=0.308,Z=6.066,P<0.001);局部空间自相关分析显示,出生缺陷发生率在空间分布上存在高–高值聚集区域(Z>1.96,P<0.05)和高–低值聚集区域(Z<−1.96,P<0.05);热点分析显示,出生缺陷发生率在空间分布上存在热点地区(Z>1.65,P<0.10)和冷点地区(Z<−1.65,P<0.10)。
      结论  广西出生缺陷发病具有明显的空间分布规律,存在局部高发县(区),应重点加强这些县(区)的出生缺陷防控。

     

    Abstract:
      Objective  To understand the spatial distribution of the incidence of birth defects in Guangxi, and provide scientific evidences for the prevention and control of birth defects.
      Methods  The spatial database of birth defects of Guangxi from 2016 to 2020 was established and used for the spatial analyses. The Kriging interpolation was used to plot the map of birth defects in Guangxi. And then the trend surface analysis, spatial autocorrelation analysis and hotspot analysis were conducted to understand the spatial distribution of the incidence of birth defects.
      Results  The trend surface analysis showed that the incidence of birth defects increased first and then decreased from west to east and from north to south. The global spatial autocorrelation analysis showed that there was a positive spatial autocorrelation in the incidence of birth defects (Moran's I=0.308, Z=6.066, P<0.001). The local spatial autocorrelation analysis indicated that the incidence of birth defects showed High-High and High-Low spatial clustering patterns (Z>1.96, P<0.05) in Guangxi. The hot spot analysis showed that the incidence of birth defects had both hot spots and cold spots (Z>1.65, P<0.10) in Guangxi.
      Conclusion  The obvious spatial distribution of the incidence of birth defects was observed in Guangxi, and the incidences were high in some counties or districts. So, it is necessary to strengthen the prevention and control of birth defects in these areas.

     

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