Through taking Covid-19 as an example,the study reviews the research progress in the analysis and prediction of epidemic transmission data,so as to improve the prevention,control and emergency management capacity of infectious diseases.The study compares the advantages and disadvantages of statistical analysis(regression and fitting analysis,time series analysis,and functional data analysis),dynamic model analysis(SIR Model,SEIR model and other extended models)and LSTM neural network model analysis.The analysis results can provide theoretical reference for future management and decision-making of infectious disease prevention and control.
关键词
Covid-19/传染病防控/数据分析/预测方法
Key words
Covid-19/Prevention and control of infectious diseases/Data analysis/Forecasting method
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