Prediction of AIDS incidence based on grey model in Guangdong Province

被引:0
|
作者
Zhao Zhiqin [1 ]
He Suizhi [1 ,2 ]
机构
[1] Guangzhou Xinhua Univ, Sch Econ & Trade, Guangzhou 510520, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Fac Med Stat & Epidemiol, Sch Publ Hlth, Guangzhou 510080, Guangdong, Peoples R China
关键词
Grey system; Metabolic GM (1,1) model; Verhulst model; Forecast analysis;
D O I
10.1117/12.2639304
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
According to the HIV and AIDS infection and incidence data of Guangdong residents from 2011 to 2020, the GM (1,1) model of metabolism was established based on the grey system theory, and the results were calculated by Matlab: Q=0.0089 <= 0.01, mean square error ratio C=0.2765 <= 0.35, -a = 0.0035 < 0.3. The test accuracy of this model is level 1. The GM (1,1) metabolic model is used to predict the number of HIV and AIDS cases in Guangdong province in the next five years. The data results show that the number of HIV will decrease in the next five years and the overall level of ADIS will increase Using grey Verhulst model analysis AIDS deaths each year, the data is not saturated state, it is on the rise Reflect the Guangdong province AIDS prevention and control work in the future a long way to go Through the model analysis to predict the trend of disease and death, HIV/AIDS prevention and control management measures for developing the Guangdong provides a reliable basis
引用
收藏
页数:7
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