Study on Infectious Diseases Prediction and Control Based on Unbiased Grey Markov Model
Grey system theory and Markov chain were combined in this paper to predict the spread of infectious diseases, taking the spread of pandemic influenza A (H1N1) in China for an example. A time sequence function was fitted according to the 10 weeks data from website of Health Ministry of P.R. China during 2009-2010 to construct the unbiased grey Markov model, and the method was used to predict the infectious diseases and analyze the prediction results. The result demonstrates that the research has certain reliability and applicability, and could provide reference for the prevention and control of infectious diseases. Theoretical research value and practical significance was reflected in this paper.
Infectious disease pandemic influenza A (H1N1) unbiased grey model Markov chain
Tian Liang Xi Xi
Foreign Languages Department,Harbin Engineering University,Harbin, China, 150001 School of Economics and Management Harbin Engineering University,Harbin, China, 150001
国际会议
哈尔滨
英文
487-493
2010-09-10（万方平台首次上网日期，不代表论文的发表时间）