Bai Ruhai, Wang Lingling, Zhang Qi, Dang Shaonong, Mi Baibing, Yan Hong
Department of Epidemiology and Biostatistics, School of Public Health, Health Science Center of Xi'an Jiaotong University, Xi'an 710061, China.
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2017 Apr 28;42(4):451-456. doi: 10.11817/j.issn.1672-7347.2017.04.014.
To explore the spatial distribution and clustering in birth defects from 2010 to 2013 in Shaanxi Province. Methods: Spatial distribution was used to describe the birth defects, while ordinary Kriging method was used to predict the status of birth defects in Shaanxi province. The spatial characteristics for the birth defects at the county/district level were analyzed by spatial autocorrelation. Results: The overall incidence of birth defects was 219.196/10 000; Birth defect did not appear to be a random distribution but show a significant spatial aggregation. Spatial interpolation predicted the geographic distribution for occurrence of birth defects in Shaanxi Province. Local autocorrelation analysis showed nine "hot spot areas" for birth defects, such as Qian County, Liquan County, Yongshou County, Bin County, Fufeng County, Jingyang County, Chunhua County, Wugong County and Xingping City, and seven "cold spot areas" including Jia County, Yuyang District, Mizhi County, Suide County, Wubu County, Qingjian County and Zizhou District. Conclusion: There are spatial clustering in birth defects from 2010 to 2013 in Shaanxi Province. Spatial interpolation and spatial autocorrelation can be used to predict the spatial features of birth defects in the whole province and provide evidence for the further intervention.
探讨2010 - 2013年陕西省出生缺陷的空间分布及聚集性。方法:采用空间分布描述出生缺陷情况,运用普通克里金法预测陕西省出生缺陷状况。通过空间自相关分析县级行政区出生缺陷的空间特征。结果:出生缺陷总发生率为219.196/万;出生缺陷并非随机分布,而是呈现出显著的空间聚集性。空间插值法预测了陕西省出生缺陷发生的地理分布。局部自相关分析显示出生缺陷的9个“热点地区”,如乾县、礼泉县、永寿县、彬县、扶风县、泾阳县、淳化县、武功县和兴平市,以及7个“冷点地区”,包括佳县、榆阳区、米脂县、绥德县、吴堡县、清涧县和子洲县。结论:2010 - 2013年陕西省出生缺陷存在空间聚集性。空间插值和空间自相关可用于预测全省出生缺陷的空间特征,为进一步干预提供依据。