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考虑工作人群及不同防护措施的疫情传播速度仿真

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本文主要针对疫情走势进行了分析,考虑了不同人群和不同防护措施对疫情走势的影响。针对此问题首先对传统的SEIR传染模型进行了优化,模拟出在公共场所内工作人员感染病毒后和普通人员感染病毒后的疫情传播情况;其次对比不同防护措施情况下的疫情传播情况,分析了物理防护和化学防护对疫情传播速率的影响。结果发现,初始潜伏者为工作人员时,疫情爆发的更加迅猛、快速;工作人员在分别采取物理防护和化学防护措施后会使得疫情发展速度有不同程度的降低。化学防护措施的防控效果相当于三级物理防护措施的防控效果,全国公共场所的工作人员在疫情防控工作下需要进行比普通人群更高等级的物理防护,也为后期疫情扩散期间的物资分配提供了依据。
Simulation Analysis of Epidemic Transmission Speed Considering Working Population and Different Protection Measures
This essay mainly analyzes the trend of the epidemic,considering the influence of different populations and different protective measures on the trend of the epidemic.Firstly,the impact of different groups on the transmission of the epidemic is considered,and the transmission of the epidemic after the infection of staff and ordinary people in public places is simulated.Combined with some specific values of COVID-19,the transmis-sion probability of the infectious disease,the number of contacts of the infectious person,the possibility of converting the latent person into the infectious person,and the total number of people in the system are deter-mined.At the same time,the infection mechanism of the latent person and the mechanism that the cured person can be reinfected are added.On this basis,the infection rate coefficient is determined respectively according to the proportion of the number of contacts.Based on this,an improved SEIR infectious disease model is established,and the change in the number of patients is determined through simulation.Secondly,the impact of physical and chemical protection on the transmission rate of the epidemic is analyzed by comparing the transmis-sion of the epidemic under different protective measures.Physical protection measures have good or bad effects due to different standards,materials and other protective effects.The grades of physical protection measures are divided into four levels for discussion,and the anti-epidemic effect of measures is quantified as 80%,60%,40%,20%,and the control group is set up 0%.The simulation solution of the infection process is carried out respectively.In terms of chemical protection,the concept of antibody phase TS is introduced.During the anti-body phase,people will not be infected by contact,and specific measures of chemical protection are taking drugs or health products,etc.After chemical protection,the antibody phase can be extended.This model is an improvement and optimization of the classic SEIR infectious disease model,and it adds the mechanism of relapse for recovered people and the mechanism of infection for latent people.Based on the difference between physical protection and chemical protection,we add a weight coefficient on the basis of the original SEIRS model,which plays a greater role in reflecting the epidemic prevention and control effect of different protective measures.The results show that the speed of epidemic development is reduced to different degrees after the staff takes physical protection and chemical protection measures respectively.The prevention and control effect of chemical protection measures is equivalent to the prevention and control effect of tertiary physical protection measures.Workers in public places across the country need a better physical protection than the general population in epidemic prevention and control work.The optimized infectious disease model is more in line with the actual situ-ation of epidemic transmission and can better predict the number of possible infections in the system in the next stage.The antibody mechanism in the SEIRS model more truly reflects the impact of protective measures on the spread of the epidemic during the epidemic period,and the added incubation mechanism is more realistic than the SEIR model.In today's era of universal vaccination,it is still necessary to pay attention to the infectiability of the novel coronavirus and combine physical protective measures,so as to prevent the spread of the epidemic.

COVID-19working populationinfection rateepidemic prevention and controltransmission rate

牛莉霞、于钱

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辽宁工程技术大学 工商管理学院,辽宁 葫芦岛 125105

新冠疫情 工作人群 传播速度 疫情防控 传染速率

国家自然科学基金面上项目

52174184

2024

运筹与管理
中国运筹学会

运筹与管理

CSTPCDCHSSCD北大核心
影响因子:0.688
ISSN:1007-3221
年,卷(期):2024.33(8)