基于隔离人群的SEIRS模型研究香港新冠肺炎传播趋势
To Study the Transmission Trend of COVID-19 in Hong Kong Based on SEIRS Model of Quarantined Population
DOI: 10.12677/PM.2023.132029, PDF,    科研立项经费支持
作者: 郭慧敏:广东培正学院,广东 广州
关键词: 隔离人群SEIQRS模型最小二乘法数值模拟Quarantined Population SEIQRS Model Least Square Method Numerical Simulation
摘要: 由于二次感染及“复阳”问题的出现,以及隔离人群变量的增加,本文在SEIR传染病模型基础上,建立含有隔离人群的SEIRS模型。使用香港第五波新冠疫情数据,通过最小二乘法求得含有隔离人群的SEIRS模型中各参数最优解,并使用Python软件模拟得到新冠病毒传播趋势。结果显示:含有隔离人群的SEIRS模型与香港新冠肺炎的实际传播走势较为一致。表明增加有效的隔离手段,如建立方舱医院等方式,能提升隔离率,使感染人群数量不断下降,从而以最大力量保护人民生命安全。
Abstract: Due to the emergence of secondary infection and “re-infection”, as well as the increase of quaran-tined population variables, a SEIRS model was established based on the SEIR epidemic model with quarantined population. Using the data of the fifth wave of COVID-19 in Hong Kong, the least square method was used to obtain the optimal solution of each parameter in the SEIRS model containing the quarantined population, and the spread trend of COVID-19 was simulated by Python software. The result shows: the SEIRS model containing quarantined population is consistent with the actual transmission trend of COVID-19 in Hong Kong. It shows that increasing effective isolation methods, such as the establishment of mobile cabin hospitals, can improve the isolation rate, reduce the number of infected people, so as to protect people's lives as much as possible.
文章引用:郭慧敏. 基于隔离人群的SEIRS模型研究香港新冠肺炎传播趋势[J]. 理论数学, 2023, 13(2): 244-250. https://doi.org/10.12677/PM.2023.132029

参考文献

[1] 马知恩. 传染病动力学的数学建模与研究[Z]. 西安交通大学, 2004-12-01.
[2] Vrieze, J. (2020) More People Are Getting COVID-19 Twice, Suggesting Immunity Wanes Quickly in Some. Science. [Google Scholar] [CrossRef
[3] Edridge, A.W.D., et al. (2020) Seasonal Coronavirus Protective Immunity Is Short-Lasting. Nature Medicine, 26, 1691-1693. [Google Scholar] [CrossRef] [PubMed]
[4] 冯长敏, 张炳江. 基于BP神经网络的分段函数连续优化处理[J]. 北京信息科技大学学报(自然科学版), 2019, 34(1): 18-22.
[5] 郭卫云. 基于SEIR模型的传染病预测与可视化系统实现[D]: [硕士学位论文]. 邯郸: 河北工程大学, 2020.
[6] 游光荣, 游翰霖, 赵得智, 廉振宇. 新冠肺炎疫情传播模型及防控干预措施的因果分析评估[J]. 科技导报, 2020, 38(6): 90-96.
[7] 程哲阳. SEIR改进模型及COVID-2019武汉疫情分析[D]: [硕士学位论文]. 北京: 中国地质大学(北京), 2021.
[8] 周灵, 刘馗, 刘辉国. 新型冠状病毒肺炎患者出院后“复发”原因分析及治疗策略[J]. 中华结核和呼吸杂志, 2020(4): 281-284.
[9] 郭慧敏. 基于SEIRS模型的香港新冠肺炎疫情传播趋势研究[J]. 新时代教育, 2022(18): 331-332.