期刊文献+
共找到14篇文章
< 1 >
每页显示 20 50 100
THE DYNAMICAL BEHAVIOR OF AN ALMOST PERIODIC SVEIR WARNING MODEL IN A PATCHY ENVIRONMENT
1
作者 Binguo WANG Xiaomei MA Yashi WANG 《Acta Mathematica Scientia》 2026年第1期427-458,共32页
The outbreak of infectious diseases is the result of a combination of various factors,including season,the movement of individuals,non-pharmaceutical interventions(NPIs)and the effectiveness and availability of vaccin... The outbreak of infectious diseases is the result of a combination of various factors,including season,the movement of individuals,non-pharmaceutical interventions(NPIs)and the effectiveness and availability of vaccines.Taking these key elements into consideration,an almost periodic SVEIR warning model in the patch environment is here proposed.First,in terms of reproduction numbers,our results imply that if the effective reproduction numbers are R_(e)<1,then the disease dies out;if R_(e)>1,then the disease spreads and leads to local outbreaks.Second,the relationships between R_(e)and C_(s1),C_(a1)(see Section 2)are given by numerical simulations.The numerical results show that even if all people are vaccinated,NPIs are still needed because of the potentially low efficacy of vaccines.Furthermore,the numerical results suggest that NPIs and the strengthening of the effective rate of vaccination are essential in order to achieve herd immunity.Theories involving this model effectively explain the transmission mechanism of most infectious diseases,and provide a valuable theoretical basis for analyzing new infectious diseases in the future.Moreover,this model is helpful for the prevention and control of infectious diseases and the formulation of public health safety policies. 展开更多
关键词 sveir model almost periodicity reproduction ratio skew-product semiflow threshold dynamics
在线阅读 下载PDF
脉冲时滞SVEIR模型的持久性 被引量:3
2
作者 章培军 孙卫 张慧 《四川师范大学学报(自然科学版)》 CAS CSCD 北大核心 2013年第6期846-850,共5页
考虑了具有饱和接触率和变化种群大小的脉冲时滞的SVEIR模型,使用比较原理得到了模型的持久性,即R>1时,系统是持久的,并通过数值模拟验证了获得的结果.
关键词 时滞 sveir模型 持久性
在线阅读 下载PDF
疫苗接种效应影响下的SVEIR模型的动力学分析
3
作者 王海玲 翁智峰 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2024年第2期329-334,共6页
[目的]由于流行病会随着时间的变化而发生变化,因此,结合现实情况,研究一种受接种疫苗比率和免疫率影响的带时变性质的SVEIR疾病传播模型的平衡点的动力学性质.[方法]首先,通过构建动力学模型研究平衡点的存在性;其次,利用下一代矩阵法... [目的]由于流行病会随着时间的变化而发生变化,因此,结合现实情况,研究一种受接种疫苗比率和免疫率影响的带时变性质的SVEIR疾病传播模型的平衡点的动力学性质.[方法]首先,通过构建动力学模型研究平衡点的存在性;其次,利用下一代矩阵法得出模型的基本再生数R0和有效再生数Re;最后,通过Lyapunov定理和Routh-Hurwitz判别方法对病毒的基本再生数和有效再生数进行稳定性分析.[结果]通过python数值仿真实验,得出当R0<1时,疾病会消失;当R0>1时,流行病会转化为地方流行病;当R0=1时,系统会出现临界分岔现象.[结论]接种疫苗是疾病防控的关键措施之一.R0的取值决定流行病的演化结果. 展开更多
关键词 疫苗接种效应 时滞 sveir模型 稳定性
在线阅读 下载PDF
具有接种效应带时变时滞的SVEIR模型的稳定性分析
4
作者 王海玲 《应用数学进展》 2022年第6期3924-3931,共8页
考虑了一类受接种疫苗影响的带时变时滞的SVEIR疾病传播模型,针对不同取值下的病毒基本再生数R0,分别采取Liapunov函数法和Routh-Hurwitz判别法对模型平衡点的存在性、稳定性、分岔性进行研究。最后对不同的R0进行数值模拟,验证理论分... 考虑了一类受接种疫苗影响的带时变时滞的SVEIR疾病传播模型,针对不同取值下的病毒基本再生数R0,分别采取Liapunov函数法和Routh-Hurwitz判别法对模型平衡点的存在性、稳定性、分岔性进行研究。最后对不同的R0进行数值模拟,验证理论分析结果的正确性。 展开更多
关键词 疫苗效应 时滞 sveir模型 稳定性
暂未订购
A DIFFUSIVE SVEIR EPIDEMIC MODEL WITH TIME DELAY AND GENERAL INCIDENCE 被引量:1
5
作者 Jiniing ZHOU Xinsheng MA +1 位作者 Yu YANG Tonghua ZHANG 《Acta Mathematica Scientia》 SCIE CSCD 2021年第4期1385-1404,共20页
In this paper,we consider a delayed diffusive SVEIR model with general incidence.We first establish the threshold dynamics of this model.Using a Nonstandard Finite Difference(NSFD) scheme,we then give the discretizati... In this paper,we consider a delayed diffusive SVEIR model with general incidence.We first establish the threshold dynamics of this model.Using a Nonstandard Finite Difference(NSFD) scheme,we then give the discretization of the continuous model.Applying Lyapunov functions,global stability of the equilibria are established.Numerical simulations are presented to validate the obtained results.The prolonged time delay can lead to the elimination of the infectiousness. 展开更多
关键词 sveir model VACCINATION Lyapunov function nonstandard finite difference method
在线阅读 下载PDF
具有延时免疫的SVEIR疾病传播动力学模型
6
作者 李洁 李涛 《信息技术与信息化》 2022年第2期122-125,共4页
为了研究网络拓扑结构以及接种疫苗后产生的延时免疫对疾病传播动力学行为的影响,提出了一类基于无标度网络的SVEIR(易感者-接种者-潜伏者-感染者-治愈者)传播动力学模型。利用平均场理论详细分析了所提模型的传播动态行为。首先,根据... 为了研究网络拓扑结构以及接种疫苗后产生的延时免疫对疾病传播动力学行为的影响,提出了一类基于无标度网络的SVEIR(易感者-接种者-潜伏者-感染者-治愈者)传播动力学模型。利用平均场理论详细分析了所提模型的传播动态行为。首先,根据下一代矩阵法得到了基本再生数和两个平衡点,同时也分析了网络拓扑和时延对基本再生数的影响,理论分析表明,基本再生数由网络拓扑决定,与时延无关。然后,通过数值仿真验证了理论分析结果的正确性,仿真结果表明,疾病最终是否消亡与基本再生数有关。 展开更多
关键词 sveir模型 延时免疫 基本再生数 平衡点
在线阅读 下载PDF
Global Stability of a SVEIR Epidemic Model: Application to Poliomyelitis Transmission Dynamics
7
作者 L. N. Nkamba J. M. Ntaganda +2 位作者 H. Abboubakar J. C. Kamgang Lorenzo Castelli 《Open Journal of Modelling and Simulation》 2017年第1期98-112,共15页
The lack of treatment for poliomyelitis doing that only means of preventing is immunization with live oral polio vaccine (OPV) or/and inactivated polio vaccine (IPV). Poliomyelitis is a very contagious viral infection... The lack of treatment for poliomyelitis doing that only means of preventing is immunization with live oral polio vaccine (OPV) or/and inactivated polio vaccine (IPV). Poliomyelitis is a very contagious viral infection caused by poliovirus. Children are principally attacked. In this paper, we assess the impact of vaccination in the control of spread of poliomyelitis via a deterministic SVEIR (Susceptible-Vaccinated-Latent-Infectious-Removed) model of infectious disease transmission, where vaccinated individuals are also susceptible, although to a lesser degree. Using Lyapunov-Lasalle methods, we prove the global asymptotic stability of the unique endemic equilibrium whenever ?. Numerical simulations, using poliomyelitis data from Cameroon, are conducted to approve analytic results and to show the importance of vaccinate coverage in the control of disease spread. 展开更多
关键词 DETERMINISTIC sveir Model POLIOMYELITIS Imperfect VACCINE Direct LYAPUNOV Method EQUILIBRIUM States Global Stability
在线阅读 下载PDF
Dynamics of an SVEIR transmission model with protection awareness and two strains
8
作者 Kaijing Chen Fengying Wei +4 位作者 Xinyan Zhang Hao Jin Ruiyang Zhou Yue Zuo Kai Fan 《Infectious Disease Modelling》 2025年第1期207-228,共22页
As of May 2024,the main strains of COVID-19 caused hundreds of millions of infection cases and millions of deaths worldwide.In this study,we consider the COVID-19 epidemics with the main strains in the Chinese mainlan... As of May 2024,the main strains of COVID-19 caused hundreds of millions of infection cases and millions of deaths worldwide.In this study,we consider the COVID-19 epidemics with the main strains in the Chinese mainland.We study complex interactions among hosts,non-pharmaceutical interventions,and vaccinations for the main strains by a differential equation model called SVEIR.The disease transmission model incorporates two strains and protection awareness of the susceptible population.Results of this study show that the protection awareness plays a crucial role against infection of the population,and that the vaccines are effective against the circulation of the earlier strains,but ineffective for emerging strains.By using the next generation matrix method,the basic reproduction number of the SVEIR model is firstly obtained.Our analysis by Hurwitz criterion and LaSalle's invariance principle shows that the disease free-equilibrium point is locally and globally asymptotically stable when the threshold value is below one.The existences of endemic equilibrium points are also established,and the global asymptotic stabilities are analyzed using the Lyapunov function method.Further,the SVEIR model is confirmed to satisfy the principle of competitive exclusion,of which the strain with the larger value of the basic reproduction number is dominant.Numerically,the surveillance data with the Omicron strain and the XBB strain are split by the cubic spline interpolation method.The fitting curves against the surveillance data are plotted using the least-squares method from MATLAB.The results indicate that the XBB strain dominates in this study.Moreover,a global sensitivity analysis of the key parameters is performed by using of PRCC.The numerical simulations imply that combination control strategy positively impacts on the infection scale than what separate control strategy does,and that the earlier time producing protection awareness for the public creates less infection scale,further that the increment of protection awareness also reduces the infection scale.Therefore,the policymakers of the local government are suggested to concern the changes of protection awareness of the public. 展开更多
关键词 sveir transmission model Protection awareness Two trains Stability Competitive exclusion
原文传递
Dynamic evolution of an SVEIR model with variants and non-pharmaceutical interventions for controlling COVID-19 被引量:1
9
作者 Ruiyang Zhou Shaojian Cai +6 位作者 Guangmin Chen Senzhong Huang Zhen Jin Zhihang Peng Weichuan Lin Fengying Wei Kuicheng Zheng 《Journal of Biosafety and Biosecurity》 2024年第2期67-75,共9页
The epidemiological characteristics and distributions of two epidemics in Fujian Province of Southeast China were attributed to the complex interactions among variant,host,and non-pharmaceutical interventions(NPIs).Al... The epidemiological characteristics and distributions of two epidemics in Fujian Province of Southeast China were attributed to the complex interactions among variant,host,and non-pharmaceutical interventions(NPIs).All reported cases in the Putian epidemic(September 8–October 2,2021,Delta variant B.1.617.2)and Fuzhou epidemic(October 22–November 18,2022,Omicron variant BA.5.2)were classified by sex,age group,occupation,and location in this study.Using surveillance data from the Fujian Provincial Center for Disease Control and Prevention,we established a virus-oriented SVEIR(Susceptible–Vaccinated–Exposed–Infected–Recovered)model to investigate the dynamic evolution features of these two variants and the effects of NPIs.The optimal simulations were carried out with variants and scenario investigations.The scenario investigations showed that NPIs significantly reduced the transmission risk and infection scales of COVID-19,and that the Omicron variant was more infectious than the Delta variant.Moreover,the dynamic investigations revealed the increasing tendencies from Delta to Omicron,such as the basic reproduction number,infection rate,percentage of high-risk cases,and the growth rate.Decreasing tendencies were also identified,such as the average recovery period,the awareness delay,and the percentage of symptomatic cases.This study highlighted that NPIs played critical roles in successfully containing the two epidemics.Such interventions are strongly recommended to public health policymakers. 展开更多
关键词 COVID-19 sveir model Transmission dynamics Non-pharmaceutical interventions Delta variant Omicron variant
原文传递
A MULTI-GROUP SVEIR EPIDEMIC MODEL WITH DISTRIBUTED DELAY AND VACCINATION 被引量:2
10
作者 JINLIANG WANG YASUHIRO TAKEUCHI SHENGQIANG LIU 《International Journal of Biomathematics》 2012年第3期1-18,共18页
In this paper, based on a class of multi-group epidemic models of SEIR type with bilinear incidences, we introduce a vaccination compartment, leading to multi-group SVEIR model. We establish that the global dynamics a... In this paper, based on a class of multi-group epidemic models of SEIR type with bilinear incidences, we introduce a vaccination compartment, leading to multi-group SVEIR model. We establish that the global dynamics are completely determined by the basic reproduction number R0V which is defined by the spectral radius of the next generation matrix. Our proofs of global stability of the equilibria utilize a graph-theoretical approach to the method of Lyapunov functionals. Mathematical results suggest that vaccination is helpful for disease control by decreasing the basic reproduction number. However, there is a necessary condition for successful elimination of disease. If the time for the vaccines to obtain immunity or the possibility for them to be infected before acquiring immunity is neglected in each group, this condition will be satisfied and the disease can always be eradicated by suitable vaccination strategies. This may lead to over evaluation for the effect of vaccination. 展开更多
关键词 Multi-group sveir model vaccination strategy global stability Lyapunovfunctionals graph theory.
原文传递
Epidemiological feature analysis of SVEIR model with control strategy and variant evolution
11
作者 Kaijing Chen Fengying Wei +4 位作者 Xinyan Zhang Hao Jin Zuwen Wang Yue Zuo Kai Fan 《Infectious Disease Modelling》 CSCD 2024年第3期689-700,共12页
The complex interactions were performed among non-pharmaceutical interventions,vaccinations,and hosts for all epidemics in China's Mainland during the spread of COVID-19.Specially,the small-scale epidemic in the c... The complex interactions were performed among non-pharmaceutical interventions,vaccinations,and hosts for all epidemics in China's Mainland during the spread of COVID-19.Specially,the small-scale epidemic in the city described by SVEIR model was less found in the current studies.The SVEIR model with control was established to analyze the dynamical and epidemiological features of two epidemics in Jinzhou City led by Omicron variants before and after Twenty Measures.In this study,the total population(N)of Jinzhou City was divided into five compartments:the susceptible(S),the vaccinated(V),the exposed(E),the infected(I),and the recovered(R).By surveillance data and the SVEIR model,three methods(maximum likelihood method,exponential growth rate method,next generation matrix method)were governed to estimate basic reproduction number,and the results showed that an increasing tendency of basic reproduction number from Omicron BA.5.2 to Omicron BA.2.12.1.Meanwhile,the effective reproduction number for two epidemics were investigated by surveillance data,and the results showed that Jinzhou wave 1 reached the peak on November 1 and was controlled 7 days later,and that Jinzhou wave 2 reached the peak on November 28 and was controlled 5 days later.Moreover,the impacts of non-pharmaceutical interventions(awareness delay,peak delay,control intensity)were discussed extensively,the variations of infection scales for Omicron variant and EG.5 variant were also discussed.Furthermore,the investigations on peaks and infection scales for two epidemics in dynamic zero-COVID policy were operated by the SVEIR model with control.The investigations on public medical requirements of Jinzhou City and Liaoning Province were analyzed by using SVEIR model without control,which provided a possible perspective on variant evolution in the future. 展开更多
关键词 COVID-19 sveir model Twenty measures Control strategy Variant evolution
原文传递
Global stability of an age-structured SVEIR epidemic model with waning immunity, latency and relapse
12
作者 Lili Liu Xianning Liu 《International Journal of Biomathematics》 2017年第3期151-178,共28页
The global dynamics of an SVEIR epidemic model with age-dependent waning immu- nity, latency and relapse are studied. Sharp threshold properties for global asymptotic stability of both disease-free equilibrium and end... The global dynamics of an SVEIR epidemic model with age-dependent waning immu- nity, latency and relapse are studied. Sharp threshold properties for global asymptotic stability of both disease-free equilibrium and endemic equilibrium are given. The asymptotic smoothness, uniform persistence and the existence of interior global attractor of the semi-flow generated by a family of solutions of the system are also addressed. Furthermore, some related strategies for controlling the spread of diseases are discussed. 展开更多
关键词 sveir epidemic model waning immunity age-dependent latency age-depen- dent relapse global stability.
原文传递
一类具有临时免疫的时滞蠕虫传播模型的Hopf分支(英文)
13
作者 张子振 毕殿杰 赵涛 《浙江大学学报(理学版)》 CAS CSCD 北大核心 2016年第3期279-285,共7页
研究一类具有临时免疫的时滞SVEIR网络蠕虫传播模型的Hopf分支.首先,以蠕虫病毒的潜伏期时滞为分支参数,得到Hopf分支存在的充分条件.然后,借助于规范型理论和中心流形定理研究了模型Hopf分支的性质.最后,给出仿真示例,验证所得理论结... 研究一类具有临时免疫的时滞SVEIR网络蠕虫传播模型的Hopf分支.首先,以蠕虫病毒的潜伏期时滞为分支参数,得到Hopf分支存在的充分条件.然后,借助于规范型理论和中心流形定理研究了模型Hopf分支的性质.最后,给出仿真示例,验证所得理论结果的正确性.仿真结果表明,延迟Hopf分支的产生可以有效控制蠕虫病毒在网络中的传播. 展开更多
关键词 sveir模型 HOPF分支 时滞 稳定性 周期解
在线阅读 下载PDF
疫苗资源对新冠肺炎病毒传播的影响
14
作者 薄琪琪 《电脑与信息技术》 2023年第1期65-69,共5页
随着新型冠状病毒的迅速蔓延,由该病毒引起的疫情严重影响了人们的日常生活。在疫情笼罩的大背景下,文章以在社会网络中生活的群体为研究对象,采用多智能体仿真方法,在SEIR模型的基础上构建SVEIR模型,探究疫苗资源对疫情发展过程带来的... 随着新型冠状病毒的迅速蔓延,由该病毒引起的疫情严重影响了人们的日常生活。在疫情笼罩的大背景下,文章以在社会网络中生活的群体为研究对象,采用多智能体仿真方法,在SEIR模型的基础上构建SVEIR模型,探究疫苗资源对疫情发展过程带来的影响。研究发现,疫苗资源对于疫情发展有明显的抑制效果,有效降低感染者人数和死亡者人数。根据不同年龄阶段被感染的可能性进行疫苗资源分配带来的防控效果最为明显,疫苗资源的利用效率最高。 展开更多
关键词 sveir模型 新冠肺炎疫情 多智能体仿真
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部