Bayesian mapping of neural tube defects prevalence in Heshun County, Shanxi Province, China during 19982001
文献类型：EI期刊论文
| 作者 | Liao Yi-Lan |
| 发表日期 | 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
 |
| 卷 | 8期:6页:921-925 |
| 收录类别 | EI |
| 语种 | 英语 |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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