期刊文献+

灰色模型在我国伤寒副伤寒发病率预测中的应用 被引量:7

Application of Grey Model on Forecasting the Incidence of Typhoid and Paratyphoid in China
下载PDF
导出
摘要 目的:研究伤寒副伤寒的发病规律,预测伤寒副伤寒的发病率,为卫生部门制定相应的防控措施提供理论依据。方法:根据我国2001~2007年伤寒副伤寒发病率资料建立GM(1,1)灰色模型,并预测2008、2009和2010年发病率。结果:所建模型经检验精度高(C=0.2889,P=1.0000,MAPE=8.30%),预测效果较理想。结论:预测伤寒副伤寒发病率呈下降趋势,但仍要继续做好伤寒副伤寒防控工作,防止其发病率升高。 Objective: To study the changing trend and forecast the incidence of typhoid and paratyphoid,it will provide theoretical basis for health department to set out preventive measures.Methods: According to the incidence data of typhoid and paratyphoid during 2001~2007 in China,we formulate the GM(1,1) grey model,and forecast the incidence during 2008~2010.Results: The grey model was testified to be satisfied,with C=0.2889,P=1.0000,MAPE=8.30%,and it was ideal for forecasting.Conclusions: The grey model showed that the incidence of typhoid and paratyphoid appeared a descending trend,but we still need to keep doing well in preventative work,lest the incidence of typhoid and paratyphoid should ascend.
出处 《数理医药学杂志》 2010年第5期506-508,共3页 Journal of Mathematical Medicine
关键词 灰色模型 预测 伤寒副伤寒发病率 grey model forecast incidence of typhoid and paratyphoid
  • 相关文献

参考文献6

二级参考文献14

  • 1马材芳.江苏省卫生人力预测——灰色模型预测[J].中国卫生经济,1989,8(7):31-35. 被引量:8
  • 2汪爱勤 鱼敏.灰色预测方法在疾病预测中的应用[J].中华流行病学杂志,1988,9(1):49-49.
  • 3魏承毓.实用流行病学(第一版)[M].甘肃科学技术出版社,1989..
  • 4[2]董承章编.经济预测原理与方法.大连:东北财经大学出版社,1993,6-10.
  • 5章扬熙.医学统计预测(第一版)[M].北京:中国科学出版社,1995.10-25.
  • 6邓聚龙.灰色系统预测与决策[M].武汉:华中理工大学出版社,1990.133-142.
  • 7Sood S, Kapil A, Dash N, et al. Paratyphoid Fever in India:An Emerging Problem [J]. Emerg Infect Dis. 1999, 5(3):483-484
  • 8Goh YL, Puthucheary SD, Chaudhry R, et al. Genetic diversity of Salmonella enterica serovar Paratyphi A from different geographical regions in Asia[J]. J Appl Microbiol, 2002, 92(6): 1167
  • 9Thong KL, Nair S, Chaudhry R, et al. Molecular analysis of Salmonella paratyphi A from an outbreak in New Delhi, India[J].Emerg Infect Dis. 1998,4(3):507-508.
  • 10李秀央,李振洪,蔡雪霞.用EXCEL实现灰色数列模型GM(1,1)的预测[J].数理医药学杂志,2000,13(4):296-297. 被引量:74

共引文献203

同被引文献51

引证文献7

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部