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用三维自回归趋势面模型预测HFRS的时空动态趋势
引用本文:薛付忠,王洁贞,马希兰.用三维自回归趋势面模型预测HFRS的时空动态趋势[J].山东大学学报(医学版),2000,38(2):148-150.
作者姓名:薛付忠  王洁贞  马希兰
作者单位:1. 山东医科大学科研处
2. 山东省平邑县卫生防疫站
基金项目:山东省自然科学基金资助课题(Y99C04)
摘    要:目的探讨三维自回归趋势面模型技术在HFRS时-空动态分析预测中的应用价值。方法在二维自回归趋势面模型基础,通过加入时间变量t,构造三维自回归趋势面模型,结果获得三维自回归趋势面模型及其建模方法。结论该模型不仅可分析HFRS的空间趋势,而且可预测其空间趋势的时间变化特征。

关 键 词:肾综合征出血热  三维自回归趋势面模型  疾病时-空动态
文章编号:1000-0496(2000)02-0148-03
修稿时间:1999-04-08

STUDY IN SPACE-TIME DYNAMIC TREND OF HFRS WITH TRI-DIMENSIONAL AUTO-REGRESSION TREND SURFACE MODEL
XUE Fu-zhong,WANG Jie-zhen,MA Xi-lan.STUDY IN SPACE-TIME DYNAMIC TREND OF HFRS WITH TRI-DIMENSIONAL AUTO-REGRESSION TREND SURFACE MODEL[J].Journal of Shandong University:Health Sciences,2000,38(2):148-150.
Authors:XUE Fu-zhong  WANG Jie-zhen  MA Xi-lan
Abstract:To explore the applicability of tri-dimensional auto-regression trend surface model in studying the space-time dynamic of disease. Methods Based on the spatial correlation or auto-correlation hypotheses, the bi-dimensional auto-regression trend surface model was put forward. By using the time variable t, tri-demensional auto-regression trend surface model was eatablisbed. ResultsThe tir-dimensional auto-regression trend surface model and the method to build this model were obtained. Conclusion In studying the spatial distribution and its space-time dynamic of disease, not only the spatial distribution dynamic of disease, but also its space-time dynamic can be analyzed by fitting tri-dimensional auto-regression trend surface model.
Keywords:Hemorrhagic fever with renal syndrome  Tri-dimensional auto-regression trend surface model  Space-time dynamic of disease
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