• 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

通过一种治疗机制的新型 COVID-19 与结核病分数阶共感染模型之间的转移动力学。

Transition dynamics between a novel coinfection model of fractional-order for COVID-19 and tuberculosis via a treatment mechanism.

作者信息

Joshi Hardik, Yavuz Mehmet

机构信息

Department of Mathematics, LJ Institute of Engineering and Technology, LJ University, Ahmedabad, Gujarat 382210 India.

Department of Mathematics and Computer Sciences, Necmettin Erbakan University, 42090 Konya, Türkiye.

出版信息

Eur Phys J Plus. 2023;138(5):468. doi: 10.1140/epjp/s13360-023-04095-x. Epub 2023 May 27.

DOI:10.1140/epjp/s13360-023-04095-x
PMID:37274455
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10220349/
Abstract

In this paper, a fractional-order coinfection model for the transmission dynamics of COVID-19 and tuberculosis is presented. The positivity and boundedness of the proposed coinfection model are derived. The equilibria and basic reproduction number of the COVID-19 sub-model, Tuberculosis sub-model, and COVID-19 and Tuberculosis coinfection model are derived. The local and global stability of both the COVID-19 and Tuberculosis sub-models are discussed. The equilibria of the coinfection model are locally asymptotically stable under certain conditions. Later, the impact of COVID-19 on TB and TB on COVID-19 is analyzed. Finally, the numerical simulation is carried out to assess the effect of various biological parameters in the transmission dynamics of COVID-19 and Tuberculosis coinfection.

摘要

本文提出了一个用于描述新冠病毒(COVID-19)与结核病传播动力学的分数阶合并感染模型。推导了所提出的合并感染模型的正性和有界性。得出了COVID-19子模型、结核病子模型以及COVID-19与结核病合并感染模型的平衡点和基本再生数。讨论了COVID-19和结核病子模型的局部和全局稳定性。在某些条件下,合并感染模型的平衡点是局部渐近稳定的。随后,分析了COVID-19对结核病的影响以及结核病对COVID-19的影响。最后,进行了数值模拟,以评估各种生物学参数在COVID-19与结核病合并感染传播动力学中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/404a236d2293/13360_2023_4095_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/b3a064fd2665/13360_2023_4095_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/14343b3f337f/13360_2023_4095_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/dfc87fcf1e42/13360_2023_4095_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/f69b6dc8f59c/13360_2023_4095_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/b0a28094afb9/13360_2023_4095_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/ab743851ecea/13360_2023_4095_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/8c9128e8a1e1/13360_2023_4095_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/b7d6621e0c67/13360_2023_4095_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/1adb83b1e0d9/13360_2023_4095_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/f8a85fe64757/13360_2023_4095_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/404a236d2293/13360_2023_4095_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/b3a064fd2665/13360_2023_4095_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/14343b3f337f/13360_2023_4095_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/dfc87fcf1e42/13360_2023_4095_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/f69b6dc8f59c/13360_2023_4095_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/b0a28094afb9/13360_2023_4095_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/ab743851ecea/13360_2023_4095_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/8c9128e8a1e1/13360_2023_4095_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/b7d6621e0c67/13360_2023_4095_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/1adb83b1e0d9/13360_2023_4095_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/f8a85fe64757/13360_2023_4095_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ee/10220349/404a236d2293/13360_2023_4095_Fig11_HTML.jpg

相似文献

1
Transition dynamics between a novel coinfection model of fractional-order for COVID-19 and tuberculosis via a treatment mechanism.通过一种治疗机制的新型 COVID-19 与结核病分数阶共感染模型之间的转移动力学。
Eur Phys J Plus. 2023;138(5):468. doi: 10.1140/epjp/s13360-023-04095-x. Epub 2023 May 27.
2
The role of screening and treatment in the transmission dynamics of HIV/AIDS and tuberculosis co-infection: a mathematical study.筛查与治疗在艾滋病毒/艾滋病和结核病合并感染传播动力学中的作用:一项数学研究。
J Biol Phys. 2014 Mar;40(2):139-66. doi: 10.1007/s10867-014-9342-3. Epub 2014 Mar 25.
3
Co-dynamics of COVID-19 and TB with COVID-19 vaccination and exogenous reinfection for TB: An optimal control application.COVID-19与结核病的共同动态变化以及COVID-19疫苗接种和结核病的外源性再感染:最优控制应用
Infect Dis Model. 2023 Jun;8(2):574-602. doi: 10.1016/j.idm.2023.05.005. Epub 2023 May 31.
4
Analysis of HBV and COVID-19 Coinfection Model with Intervention Strategies.HBV 和 COVID-19 合并感染模型与干预策略分析。
Comput Math Methods Med. 2023 Sep 29;2023:6908757. doi: 10.1155/2023/6908757. eCollection 2023.
5
A mathematical model for the co-dynamics of COVID-19 and tuberculosis.一种关于新冠病毒与结核病共同动态变化的数学模型。
Math Comput Simul. 2023 May;207:499-520. doi: 10.1016/j.matcom.2023.01.014. Epub 2023 Jan 19.
6
A fractional order HIV-TB co-infection model in the presence of exogenous reinfection and recurrent TB.存在外源性再感染和复发性结核病情况下的分数阶HIV-TB合并感染模型
Nonlinear Dyn. 2021;104(4):4701-4725. doi: 10.1007/s11071-021-06518-9. Epub 2021 May 28.
7
Assessing the Effects of Holling Type-II Treatment Rate on HIV-TB Co-infection.评估霍林二世治疗率对 HIV-TB 合并感染的影响。
Acta Biotheor. 2021 Mar;69(1):1-35. doi: 10.1007/s10441-020-09385-w. Epub 2020 Jun 16.
8
A fractional-order model for COVID-19 and tuberculosis co-infection using Atangana-Baleanu derivative.一种使用阿坦加纳-巴莱努导数的新冠肺炎与肺结核合并感染的分数阶模型。
Chaos Solitons Fractals. 2021 Dec;153:111486. doi: 10.1016/j.chaos.2021.111486. Epub 2021 Oct 9.
9
Mathematical modeling and analysis of COVID-19 and TB co-dynamics.新型冠状病毒肺炎与结核病共同动态的数学建模与分析
Heliyon. 2023 Jul 31;9(8):e18726. doi: 10.1016/j.heliyon.2023.e18726. eCollection 2023 Aug.
10
Mathematical model analysis and numerical simulation for codynamics of meningitis and pneumonia infection with intervention.数学模型分析与干预下脑膜炎和肺炎感染动力学的数值模拟
Sci Rep. 2022 Feb 16;12(1):2639. doi: 10.1038/s41598-022-06253-0.

引用本文的文献

1
Modeling and analysis using piecewise hybrid fractional operator in time scale measure for ebola virus epidemics under Mittag-Leffler kernel.基于 Mittag-Leffler 核的时标测度分段混合分数算子在埃博拉病毒流行中的建模与分析。
Sci Rep. 2024 Oct 23;14(1):24963. doi: 10.1038/s41598-024-75644-2.
2
Stability Analysis of a Fractional-Order African Swine Fever Model with Saturation Incidence.具有饱和发生率的分数阶非洲猪瘟模型的稳定性分析
Animals (Basel). 2024 Jun 29;14(13):1929. doi: 10.3390/ani14131929.

本文引用的文献

1
Modelling and analysis of fractional-order vaccination model for control of COVID-19 outbreak using real data.基于实际数据的用于控制新冠疫情爆发的分数阶疫苗接种模型的建模与分析
Math Biosci Eng. 2023 Jan;20(1):213-240. doi: 10.3934/mbe.2023010. Epub 2022 Sep 30.
2
On nonlinear dynamics of COVID-19 disease model corresponding to nonsingular fractional order derivative.对应于非奇异分数阶导数的 COVID-19 疾病模型的非线性动力学。
Med Biol Eng Comput. 2022 Nov;60(11):3169-3185. doi: 10.1007/s11517-022-02661-6. Epub 2022 Sep 15.
3
Extinction and stationary distribution of a stochastic COVID-19 epidemic model with time-delay.
时滞随机 COVID-19 传染病模型的灭绝和平衡分布。
Comput Biol Med. 2022 Feb;141:105115. doi: 10.1016/j.compbiomed.2021.105115. Epub 2021 Dec 9.
4
Investigation of interactions between COVID-19 and diabetes with hereditary traits using real data: A case study in Turkey.利用真实数据研究 COVID-19 与糖尿病及遗传特征之间的相互作用:土耳其的案例研究。
Comput Biol Med. 2022 Feb;141:105044. doi: 10.1016/j.compbiomed.2021.105044. Epub 2021 Nov 23.
5
Modeling the effects of the contaminated environments on COVID-19 transmission in India.模拟受污染环境对印度新冠病毒传播的影响。
Results Phys. 2021 Oct;29:104774. doi: 10.1016/j.rinp.2021.104774. Epub 2021 Sep 3.
6
The impact of COVID-19 on TB: a review of the data.COVID-19 对结核病的影响:数据回顾。
Int J Tuberc Lung Dis. 2021 Jun 1;25(6):436-446. doi: 10.5588/ijtld.21.0148.
7
A fractional model of cancer-immune system with Caputo and Caputo-Fabrizio derivatives.一种具有卡普托和卡普托 - 法布里齐奥导数的癌症 - 免疫系统分数阶模型。
Eur Phys J Plus. 2021;136(1):43. doi: 10.1140/epjp/s13360-020-00966-9. Epub 2021 Jan 5.
8
Modeling and analysis of COVID-19 epidemics with treatment in fractional derivatives using real data from Pakistan.利用巴基斯坦的真实数据对采用分数阶导数进行治疗的COVID-19疫情进行建模与分析。
Eur Phys J Plus. 2020;135(10):795. doi: 10.1140/epjp/s13360-020-00819-5. Epub 2020 Oct 8.
9
COVID-19 pandemic in India: a mathematical model study.印度的COVID-19大流行:一项数学模型研究。
Nonlinear Dyn. 2020;102(1):537-553. doi: 10.1007/s11071-020-05958-z. Epub 2020 Sep 21.
10
COVID-19 and tuberculosis: A mathematical model based forecasting in Delhi, India.新型冠状病毒肺炎与结核病:基于数学模型对印度德里的预测
Indian J Tuberc. 2020 Apr;67(2):177-181. doi: 10.1016/j.ijtb.2020.05.006. Epub 2020 May 12.