Analysis Of The Spread And Prevention Of The New Crown Epidemic And Public Opinion

The outbreak of COVID-19 in late 2019 has caused a great history of extremely hard and bitter trials in the world.At present,the global epidemic situation is still very grim.Controlling the spread of the epidemic is the primary goal of the global joint efforts.At the same time,guiding and controlling the public opinion during the epidemic prevention and control,and establishing a positive and smooth public opinion dredging mechanism are also important links in epidemic prevention.Therefore,this paper takes COVID-19’s dissemination and prevention and control as well as the dissemination and management of Internet public opinion during the epidemic period as the research object.Through the establishment of game model and sentiment analysis,the research is carried out to provide suggestions for epidemic prevention from the perspective of epidemic and public opinion.The work of this paper is mainly divided into the following aspects:Firstly,considering the process of COVID-19’s transmission and prevention,a differential equation model was established based on the SIR epidemic model.It was found that there was a significant correlation between the epidemic spread and the daily contact rate and the daily cure rate.The results of the model solution showed that the epidemic situation was limited within a limited range when the population density was low,the medical facilities and control measures were perfect,the isolation and exclusion rate were high.It will spread greatly and can be eliminated in a short time.On this basis,around ”how the government should effectively monitor the potential new crown infection sites,in order to reduce the daily contact rate of infected people”,a supervision game model between the government and the prevention and control unit is established,and the supervision strength and inspection proportion of the supervision organ to the prevention and control unit are determined.Based on the conclusion of the model,the paper further puts forward suggestions for the government and relevant regulatory departments to prevent and control the epidemic situation,and provides quantitative support for the implementation of effective epidemic prevention and control with the solution results of the game model.Secondly,considering the propagation process of public opinion in COVID-19,using big data analysis to interpret and depict the propagation of Internet public opinion,that is,using Scrapy-Redis distributed strategy to crawl data from micro-blog blogs in a certain period of time,taking text clustering,natural language recognition and other algorithms to process,analyze and contrast the specific data,and finally visualize the netizens’ emotions.Change trend chart,attention topic frequency chart,public opinion evolution map.Finally,considering the propagation process of opinion leaders and network media participating in COVID-19’s public opinion,the evolutionary game model of network media and opinion leaders is established.By solving the replicated dynamic equation,the stable solution and evolutionary stability strategy under different conditions can be obtained.Finally,after the learning and imitation of the Internet media,all the media will be selected and reported in the public opinion event.Whether opinion leaders will choose forwarding strategy depends on their psychological benefits and forwarding costs.The platform and the government should establish a reasonable reward and punishment mechanism,promote the voice of opinion leaders and the government,and reasonably guide the dissemination of public opinion.