| Bayesian mapping of neural tube defects prevalence in Heshun County, Shanxi Province, China during 1998-2001 |
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| 作者姓名： | CHI Wen-xue WANG Jin-feng LI Xin-hu ZHENG Xiao-ying LIAO Yi-lan |
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| 作者单位： | [1]China University of Geosciences, Beijing 100083, China [2]Institute of Geographical Sciences and Nature Resources Research, Chinese Academy of Sciences, Beo＇ing 100101, China [3]Institute of Population Research, Peking University, Beijing 100871, China |
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| 基金项目： | Project supported by the National Natural Science Foundation of China （Nos, 40471111 and 70571076）, and the Ministry of Science and Technology of China （No. 2001CB5103） |
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| 摘 要： | Objective： To estimate the prevalence rates of neural tube defects （NTDs） in Heshun County, Shanxi Province, China by Bayesian smoothing technique. Methods： 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. Results： 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. Conclusions： 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.
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| 关 键 词： | 山西 20世纪末叶 神经管缺损 出生缺陷 发病率 贝叶斯统计 疾病分布图 |
| 收稿时间： | 2006-08-10 |
| 修稿时间： | 2006-11-14 |
Bayesian mapping of neural tube defects prevalence in Heshun County,Shanxi Province,China during 1998～2001 |
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| CHI Wen-xue WANG Jin-feng LI Xin-hu ZHENG Xiao-ying LIAO Yi-lan.Bayesian mapping of neural tube defects prevalence in Heshun County, Shanxi Province, China during 1998-2001[J].Journal of Zhejiang University Science,2007,8(6):921-925. |
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| Authors: | Chi Wen-xue Wang Jin-feng Li Xin-hu Zheng Xiao-ying Liao Yi-lan |
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| Institution: | (1) China University of Geosciences, Beijing, 100083, China;(2) Institute of Geographical Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;(3) Institute of Population Research, Peking University, Beijing, 100871, China |
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| Abstract: | Objective: To estimate the prevalence rates of neural tube defects (NTDs) in Heshun County, Shanxi Province, China by Bayesian smoothing technique. Methods: 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. Results: 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. Conclusions: 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. |
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| Keywords: | Birth defects Neural tube defects (NTDs) Disease map Spatial analysis Bayesian smoothing China |
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