3 results about "Bird flu" patented technology

The invention relates to the technical field of bird flu host species identification, in particular to a new bird flu high-risk host species identification method based on virus sharing entropy. According to the method, on the basis of spatial distribution prediction of bird flu host species, the bird flu virus sharing entropy of the bird flu host species is calculated species by species according to the overlapping areas of the target host species and all other host species by extracting the distribution area overlapping area of the target host species and any other host species, and the bird flu virus sharing entropy of the bird flu host species is obtained. And quantitatively analyzing the possibility that the target host species and other host species are subjected to avian influenza cross-species transmission infection. By comparing and analyzing the entropy value of the shared entropy of the avian influenza virus, the avian influenza host species with high virus reassortment risk are identified, and a scientific basis is provided for prevention and control of epidemic diseases.

The invention discloses an avian influenza space-time distribution characteristic sampling monitoring method and device, and relates to the field of avian influenza data processing, and the method comprises the steps: obtaining multi-source data of a research region; the multi-source data comprises an avian influenza outbreak data set, a land utilization data set, a vegetation index data set, a climate change data set, a population density data set and a topographic data set; performing time sequence analysis on the outbreak starting time according to months by using the avian influenza outbreak data set, counting the outbreak frequency per month, and determining the avian influenza outbreak time characteristics of the research area; performing avian influenza outbreak risk hot spot area and key factor identification according to the multi-source data by using a maximum entropy model to obtain avian influenza outbreak space distribution characteristics of the research area; the bird flu outbreak time characteristic and the bird flu outbreak space distribution characteristic form a bird flu space-time distribution characteristic, and the bird flu outbreak time characteristic and the bird flu outbreak space distribution characteristic aim at overcoming the defects in the existing monitoring technology and providing scientific basis and technical support for bird flu prevention and control.

The application provides an intelligent analysis platform for risk assessment of wild bird flu virus recombination, relates to the technical field of influenza virus monitoring and risk assessment, and comprises a multi-source monitoring data acquisition module, a data preprocessing module, a virus sequence intelligent analysis module, a recombination risk assessment module, a spatial situation analysis and visualization module and a report generation and early warning module connected in sequence through an API interface. The intelligent analysis platform for risk assessment of wild bird flu virus recombination can realize multi-source monitoring data acquisition, virus sequence intelligent analysis, recombination risk quantitative assessment and spatial visualization early warning, and provides whole-process technical support for influenza virus recombination prevention and control.