| In recent years, the propagation of avian influenza virus has made a devastating blow to the poultry of our country. Millions of sick poultry have died or been slaughtered in batch, resulting in huge economic losses per year. A novel H7N9 virus,which could infect human, emerged in the spring of 2013 and dramatically affected human health. It has become urgent to research and analysis the avian virus and make a scientific and effective control strategies.This study provides a sequence feature extraction method based on the physical and chemical properties of protein. The sequencing data of the human influenza A(H7N9) virus from 2013 to 2015 and the avian influenza A(H7N9) virus from 1988 to 2015 are chosen in this study as experimental subjects. The evolution and propagation rules of the avian and the human influenza virus are investigated by the Geographic Information System and bioinformatics. The result can be used in developing effective measures to control the propagation of the epidemic and reduce the loss of life and property. The main work of this study is summarized as follows:(1) A sequence feature extraction method is proposed based on feature fusion.A sequence feature extraction method is developed based on feature fusion by studying the physical and chemical properties of influenza virus proteins and this method can be verified by the bioinformatics. We verify the effectiveness of the method for classification of avian influenza virus, confirming the potential of the method in the analysis of the law of the transmission of influenza virus.(2) A visual analysis method of avian influenza transmission is proposed based on the Arc GIS.The visual analysis method includes two parts. In the first part, the propagation process of the influenza virus is showed on the map. The virus is precisely mapped with the latitude and longitude of the virus data. We make the layer by date which contained detailed information of the virus, and make the group animation to demonstrate the propagation of virus. In the second part, the correlation analysis andthe hot spot analysis are used to determine the high incidence of the epidemic area based on the spatial distribution data of avian influenza.(3) The evolution and propagation rules of the avian and the human influenza A(H7N9) virus are studied in the last part of the paper.The avian and human H7N9 influenza transmission process and the analysis of environmental factors are implemented based on the Arc GIS. On these results, the transmission rules of H7N9 avian influenza are discussed. The hot spot analysis is made to determine the high incidence city of human avian influenza based on the spatial distribution data of human avian influenza. According to phylogenetic tree results, the transmission source of avian and human is analyzed and the evolution model of H7N9 avian influenza is constructed. The infection model of avian to human is also established by analyzing the relationship between the avian and human H7N9 in China. |