基于多模型的COVID-19传播研究

doi:10.11896/jsjkx.201100086

计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 196-202.doi: 10.11896/jsjkx.201100086

基于多模型的COVID-19传播研究

刘汉卿¹, 康晓东¹, 高万春², 李博^1,3, 王亚鸽¹, 张华丽¹, 白放¹

1 天津医科大学影像学院天津300202
2 吉首大学附属黔江中心医院重庆409000
3 天津市第三中心医院天津300170

出版日期:2021-06-10 发布日期:2021-06-17
通讯作者: 高万春(szxfsk789@136.com)
作者简介:hanqing0421tmu.edu.cn
基金资助:
京津冀协同创新项目(17YEXTZC00020)

Research on Propagation of COVID-19 Based on Multiple Models

LIU Han-qing¹, KANG Xiao-dong¹, GAO Wan-chun², LI Bo^1,3, WANG Ya-ge¹, ZHANG Hua-li¹, BAI Fang¹

1 School of Medical Image Science,Tianjin Medical University,Tianjin 300202,China
2 Qianjiang Central Hospital Affiliated of Jishou University,Chongqing 409000,China
3 Tianjin Third Central Hospital,Tianjin 300170,China

Online:2021-06-10 Published:2021-06-17
About author:LIU Han-qing,born in 1997,M.S.candidate.His main research interest is medical image processing.
GAO Wan-chun,born in 1963,associate chief physician.His main research interest is medical imaging technology.
Supported by:
Beijing-Tianjin-Hebei Collaborative Innovation Project(17YEXTZC00020).

摘要/Abstract

摘要： COVID-19在短时间内传播至全国各省市,不仅严重影响了人民的正常生活以及社会经济,同时还在威胁着人民的生命安全,因此多模型COVID-19传播研究有明确的理论和现实意义。本研究依据公开数据,首先,基于小世界和无标度网络模型研究了节点传播控制;其次,利用改进的SEIR模型,结合武汉疫情趋势,将感染者分为有症状感染者和无症状感染者,加入住院和死亡状态,并分别进行正常社交行为、保持距离的社交行为以及隔离措施的社交行为3种情况下的仿真研究;最后,基于混沌模型对COVID-19感染水平与周期性进行了分析。数据仿真结果验证了以上模型具有好的适用性。

关键词: COVID-19, SEIR, 混沌模型, 无标度网络, 小世界网络

Abstract: The propagation of COVID-19 to all provinces and cities across the country in a short period of time has not only severely affected people's normal life and social economy,but also threatened people's lives.Therefore,multi-model COVID-19 transmission research has clear theories and realistic significance.This study is based on public data.First,the small-world and scale-free network models are used to study node propagation control.Secondly,the improved SEIR model is used in conjunction with the Wuhan epidemic trend to divide the infected into symptomatic and asymptomatic infections.The hospitalization and death states are joined,andsimulation studies under three conditions are carried out:normal social behavior,social behavior to keep a distance,and social behavior of isolation measures,respectively.Finally,the level and periodicity of COVID-19 infection are analyzed based on the chaos model.The data simulation results verify that the above model has good applicability.

Key words: Chaos model, COVID-19, Scale-free network, SEIR, Small world network

中图分类号:

TP391

刘汉卿, 康晓东, 高万春, 李博, 王亚鸽, 张华丽, 白放. 基于多模型的COVID-19传播研究[J]. 计算机科学, 2021, 48(6A): 196-202. https://doi.org/10.11896/jsjkx.201100086

LIU Han-qing, KANG Xiao-dong, GAO Wan-chun, LI Bo, WANG Ya-ge, ZHANG Hua-li, BAI Fang. Research on Propagation of COVID-19 Based on Multiple Models[J]. Computer Science, 2021, 48(6A): 196-202. https://doi.org/10.11896/jsjkx.201100086

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基于多模型的COVID-19传播研究

Research on Propagation of COVID-19 Based on Multiple Models

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