• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

具有环境传播的多毒株免疫流行病学流感模型中的竞争排斥

Competitive exclusion in a multi-strain immuno-epidemiological influenza model with environmental transmission.

作者信息

Dang Yan-Xia, Li Xue-Zhi, Martcheva Maia

机构信息

a Department of Public Education , Zhumadian Vocational and Technical College , Zhumadian , People's Republic of China.

b Department of Mathematics and Physics , Anyang Institute of Technology , Anyang , People's Republic of China.

出版信息

J Biol Dyn. 2016 Dec;10(1):416-56. doi: 10.1080/17513758.2016.1217355.

DOI:10.1080/17513758.2016.1217355
PMID:27608293
Abstract

In this paper, a multi-strain model that links immunological and epidemiological dynamics across scales is formulated. On the within-host scale, the n strains eliminate each other with the strain having the largest immunological reproduction number persisting. However, on the population scale, we extend the competitive exclusion principle to a multi-strain model of SI-type for the dynamics of highly pathogenic flu in poultry that incorporates both the infection age of infectious individuals and biological age of pathogen in the environment. The two models are linked through the age-since-infection structure of the epidemiological variables. In addition the between-host transmission rate, the shedding rate of individuals infected by strain j and the disease-induced death rate depend on the within-host viral load. The immunological reproduction numbers [Formula: see text] and the epidemiological reproduction numbers [Formula: see text] are computed. By constructing a suitable Lyapunov function, the global stability of the infection-free equilibrium in the system is obtained if all reproduction numbers are smaller or equal to one. If [Formula: see text], the reproduction number of strain j is larger than one, then a single-strain equilibrium, corresponding to strain j exists. This single-strain equilibrium is globally stable whenever [Formula: see text] and [Formula: see text] is the unique maximal reproduction number and all of the reproduction numbers are distinct. That is, the strain with the maximal basic reproduction number competitively excludes all other strains.

摘要

本文构建了一个跨尺度连接免疫动力学和流行病学动力学的多毒株模型。在宿主内尺度上,n个毒株相互竞争,具有最大免疫繁殖数的毒株持续存在。然而,在种群尺度上,我们将竞争排斥原理扩展到一个针对家禽高致病性流感动力学的SI型多毒株模型,该模型纳入了感染个体的感染年龄和环境中病原体的生物学年龄。这两个模型通过流行病学变量的感染后年龄结构相联系。此外,宿主间传播率、j毒株感染个体的排毒率和疾病诱导死亡率取决于宿主体内病毒载量。计算了免疫繁殖数[公式:见原文]和流行病学繁殖数[公式:见原文]。通过构造一个合适的李雅普诺夫函数,如果所有繁殖数小于或等于1,则系统中无感染平衡点是全局稳定的。如果[公式:见原文],即j毒株的繁殖数大于1,则存在对应于j毒株的单毒株平衡点。只要[公式:见原文]且[公式:见原文]是唯一的最大繁殖数且所有繁殖数都不同,这个单毒株平衡点就是全局稳定的。也就是说,具有最大基本繁殖数的毒株竞争性地排斥所有其他毒株。

相似文献

1
Competitive exclusion in a multi-strain immuno-epidemiological influenza model with environmental transmission.具有环境传播的多毒株免疫流行病学流感模型中的竞争排斥
J Biol Dyn. 2016 Dec;10(1):416-56. doi: 10.1080/17513758.2016.1217355.
2
Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection.带 coinfection 的免疫 - 传染病耦合系统的建模与研究。
Bull Math Biol. 2021 Oct 13;83(11):116. doi: 10.1007/s11538-021-00946-9.
3
Dynamics of low and high pathogenic avian influenza in wild and domestic bird populations.野生和家禽种群中低致病性和高致病性禽流感的动态
J Biol Dyn. 2016;10:104-39. doi: 10.1080/17513758.2015.1111449.
4
Linking immunological and epidemiological dynamics of HIV: the case of super-infection.将 HIV 的免疫学和流行病学动态联系起来:超级感染的案例。
J Biol Dyn. 2013;7(1):161-82. doi: 10.1080/17513758.2013.820358.
5
Analysis of a two-strain malaria transmission model with spatial heterogeneity and vector-bias.具有空间异质性和媒介偏好的两株疟疾传播模型分析
J Math Biol. 2021 Mar 1;82(4):24. doi: 10.1007/s00285-021-01577-3.
6
Qualitative dynamics of lowly- and highly-pathogenic avian influenza strains.低致病性和高致病性禽流感病毒株的定性动力学。
Math Biosci. 2013 Jun;243(2):147-62. doi: 10.1016/j.mbs.2013.02.001. Epub 2013 Feb 26.
7
An evolutionary model of influenza A with drift and shift.具有漂移和转变的甲型流感的进化模型。
J Biol Dyn. 2012;6:299-332. doi: 10.1080/17513758.2011.573866. Epub 2011 May 24.
8
Multi-stage Vector-Borne Zoonoses Models: A Global Analysis.多阶段虫媒传染病模型:全球分析。
Bull Math Biol. 2018 Jul;80(7):1810-1848. doi: 10.1007/s11538-018-0435-1. Epub 2018 Apr 25.
9
Modelling coupled within host and population dynamics of [Formula: see text] and [Formula: see text] HIV infection.模拟[公式:见原文]和[公式:见原文]型HIV感染在宿主内和群体动态中的耦合情况。
J Math Biol. 2018 Apr;76(5):1123-1158. doi: 10.1007/s00285-017-1170-1. Epub 2017 Jul 31.
10
Sensitivity Analysis in an Immuno-Epidemiological Vector-Host Model.免疫流行病学的媒介-宿主模型中的敏感性分析。
Bull Math Biol. 2022 Jan 4;84(2):27. doi: 10.1007/s11538-021-00979-0.

引用本文的文献

1
A multi-strain model with asymptomatic transmission: Application to COVID-19 in the US.具有无症状传播的多菌株模型:在 COVID-19 于美国的应用。
J Theor Biol. 2023 May 21;565:111468. doi: 10.1016/j.jtbi.2023.111468. Epub 2023 Mar 20.
2
The Trade-Off between Airborne Pandemic Control and Energy Consumption Using Air Ventilation Solutions.利用通风解决方案权衡空气传播疾病防控与能源消耗
Sensors (Basel). 2022 Nov 8;22(22):8594. doi: 10.3390/s22228594.
3
Generic approach for mathematical model of multi-strain pandemics.多菌株大流行的数学模型通用方法。
PLoS One. 2022 Apr 28;17(4):e0260683. doi: 10.1371/journal.pone.0260683. eCollection 2022.
4
Modeling and Research on an Immuno-Epidemiological Coupled System with Coinfection.带 coinfection 的免疫 - 传染病耦合系统的建模与研究。
Bull Math Biol. 2021 Oct 13;83(11):116. doi: 10.1007/s11538-021-00946-9.
5
Genetic diversity through social heterosis can increase virulence in RNA viral infections and cancer progression.通过社交杂种优势产生的遗传多样性会增加RNA病毒感染中的毒力以及癌症进展。
R Soc Open Sci. 2021 May 5;8(5):202219. doi: 10.1098/rsos.202219.
6
Estimating the introduction time of highly pathogenic avian influenza into poultry flocks.估算高致病性禽流感传入家禽群的时间。
Sci Rep. 2020 Jul 24;10(1):12388. doi: 10.1038/s41598-020-68623-w.
7
The in vivo efficacy of neuraminidase inhibitors cannot be determined from the decay rates of influenza viral titers observed in treated patients.从治疗患者中观察到的流感病毒滴度衰减率无法确定神经氨酸酶抑制剂的体内疗效。
Sci Rep. 2017 Jan 9;7:40210. doi: 10.1038/srep40210.