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Gray model on the incidence of typhoid fever and paratyphoid fever Forecast
Gray model on the incidence of typhoid fever and paratyphoid fever Forecast
Of: Li Jing Li Mei, Hong Xue Wang Peicheng Qiurui
[Abstract Objective: To study the incidence of typhoid fever and paratyphoid fever law, predict the incidence of typhoid fever and paratyphoid fever, the health sector to develop appropriate theoretical basis for prevention and control measures. Methods: According to China from 2001 to 2007 data to establish the incidence of typhoid fever and paratyphoid fever GM (1,1) model, and predict the incidence of 2008,2009 and 2010. Results: After testing the model of high precision (C = 0.2889, P = 1.0000, MAPE = 8.30%), better prediction effect. Conclusion: predict the incidence of typhoid fever and paratyphoid fever decreased, but still continue to do the work of typhoid fever and paratyphoid fever prevention and control, to prevent its incidence increased.
[Keywords: gray model; prediction; the incidence of typhoid fever and paratyphoid fever
Typhoid and paratyphoid fever are acute intestinal infectious diseases, infectious disease law in our country belongs to Class B infectious diseases, the pathogens are Salmonella typhi, and paratyphoid A, B and C bacteria. In recent years, as the economy development and social improvement of health conditions, the incidence of typhoid fever and paratyphoid fever overall declining trend, but sporadic cases have occurred, some areas are still outbreaks. In this study of typhoid paratyphoid gray model to analyze the incidence of and projections for the health sector to develop appropriate preventive measures to provide a theoretical basis.
1 Data and methods
1.1 Source
Data from the lt;lt;2009 China Health Statistics Yearbookgt;gt;, reliable data, see Table 1.
1.2 method [1,2]
GM (1,1) dynamic model gray gray model is the most basic, the most widely used forecasting model, the model using original data generated through the accumulation of data obtained after modeling, the general form
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