摘要
文章基于疫情背景下实际数据,建立了一类媒体干扰下的多尺度数学模型,利用Spearman分析和互相关分析方法对获取的媒体数据进行了处理,基于改进SIR传染病分析方法,得到了系统的动力学行为.将数学理论分析得到的结论及处理后的数据应用于实际,为制定科学合理的政府教育规划提供了理论参考.
Based on the actual data under the background of epidemic situation,this paper establishes a multi-scale mathematical model under the interference of media,processes the data first using Spearman analysis and cross-correlation analysis methods,and obtains the dynamic behaviors of the system based on the improved SIR infectious disease analysis method.Secondly,the conclusions obtained from the mathematical theory analysis and the processed data are applied to practice,which provides a theoretical guidance for formulating a scientific and reasonable government education plan.
作者
周强
李小雪
谭远顺
Zhou Qiang;Li Xiaoxue;Tan Yuanshun(Chongqing Nankai Middle School,Chongqing 400030,China;Department of Mathematics,Chongqing Jiaotong University,Chongqing 400074,China;Pan Asia Business School of Yunnan Normal University,Yunnan 650092,China)
出处
《南京师大学报(自然科学版)》
CAS
CSCD
北大核心
2022年第4期16-20,共5页
Journal of Nanjing Normal University(Natural Science Edition)
基金
国家自然科学基金项目(12271068,11961024)
重庆市教育科学规划重点课题(2020-07-203).