Bayesian mapping of neural tube defects prevalence in Heshun County, Shanxi Province, China during 19982001
Liao Yi-Lan
2007
关键词Bayesian networks China Data reduction Medical problems Statistical methods
英文摘要To estimate the prevalence rates of neural tube defects (NTDs) in Heshun County, Shanxi Province, China by Bayesian smoothing technique. A total of 80 infants in the study area who were diagnosed with NTDs were analyzed. Two mapping techniques were then used. Firstly, the GIS software ArcGIS was used to map the crude prevalence rates. Secondly, the data were smoothed by the method of empirical Bayes estimation. The classical statistical approach produced an extremely dishomogeneous map, while the Bayesian map was much smoother and more interpretable. The maps produced by the Bayesian technique indicate the tendency of villages in the southeastern region to produce higher prevalence or risk values. The Bayesian smoothing technique addresses the issue of heterogeneity in the population at risk and it is therefore recommended for use in explorative mapping of birth defects. This approach provides procedures to identify spatial health risk levels and assists in generating hypothesis that will be investigated in further detail. © 2007 Springer-Verlag.
出处Journal of Zhejiang University: Science A
8期:6页:921-925
收录类别EI
语种英语
内容类型EI期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/24976]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Liao Yi-Lan. Bayesian mapping of neural tube defects prevalence in Heshun County, Shanxi Province, China during 19982001. 2007.
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