Multi-zonal transmission dynamics of pandemic COVID-19 and its stability

被引:0
|
作者
Shah, Nita H. [1 ]
Suthar, Ankush H. [1 ]
Jayswal, Ekta N. [1 ]
机构
[1] Gujarat Univ, Dept Math, Ahmadabad 380009, Gujarat, India
来源
关键词
COVID-19; Mathematical modelling; Stability; Control theory; Numerical simulation; MODEL;
D O I
10.1016/j.jnlssr.2020.11.002
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
At the end of 2019, the novel coronavirus (COVID-19) outbreak was identified in Wuhan city of China. Because of its profoundly infectious nature, it was converted into a pandemic in a very short period. Globally, 6,291,764 COVID-19 confirmed cases, and a total of 374,359 deaths are reported as of 1st June 2020; nevertheless, the circumstances become more and more critical over time. Controlling this global pandemic has necessitated ex-tensive strategies putting into practice. Based on the intensity of the epidemic, the model discriminates area into three different types of zones, and this distinction is crucial to construct various effective strategies for all three types of zones separately. The threshold value of the COVID-19 based on the data from zone-wise distribution of Indian districts from 15th April to 3rd May 2020 is calculated. Furthermore, the model is modified in a multi-group model to analyse the global transmission of COVID-19. Optimal control theory is applied to the model. Five control strategies are included based on the level of intensity of COVID-19 .
引用
收藏
页码:128 / 134
页数:7
相关论文
共 50 条
  • [1] Stochastic model of the transmission dynamics of COVID-19 pandemic
    Tesfaye, Aychew Wondyfraw
    Satana, Tesfaye Sama
    ADVANCES IN DIFFERENCE EQUATIONS, 2021, 2021 (01)
  • [2] Stochastic model of the transmission dynamics of COVID-19 pandemic
    Aychew Wondyfraw Tesfaye
    Tesfaye Sama Satana
    Advances in Difference Equations, 2021
  • [3] Spatiotemporal transmission dynamics of the COVID-19 pandemic and its impact on critical healthcare capacity
    Cuadros, Diego F.
    Xiao, Yanyu
    Mukandavire, Zindoga
    Correa-Agudelo, Esteban
    Hernandez, Andres
    Kim, Hana
    MacKinnon, Neil J.
    HEALTH & PLACE, 2020, 64
  • [4] Modeling the transmission dynamics of the COVID-19 Pandemic in South Africa
    Garba, Salisu M.
    Lubuma, Jean M-S
    Tsanou, Berge
    MATHEMATICAL BIOSCIENCES, 2020, 328
  • [5] COVID-19 in Latin America: Novel transmission dynamics for a global pandemic?
    Miller, Matthew J.
    Loaiza, Jose R.
    Takyar, Anshule
    Gilman, Robert H.
    PLOS NEGLECTED TROPICAL DISEASES, 2020, 14 (05):
  • [6] Projecting the Pandemic Trajectory through Modeling the Transmission Dynamics of COVID-19
    Vakil, Vahideh
    Trappe, Wade
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (08)
  • [7] ESTIMATES OF DYNAMICS OF THE COVID-19 PANDEMIC AND OF ITS IMPACT ON THE ECONOMY
    Albu, Lucian Liviu
    Preda, Ciprian Ion
    Lupu, Radu
    Dobrota, Carmen Elena
    Calin, George Marian
    Boghicevici, Claudia M.
    ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2020, 23 (02): : 5 - 17
  • [8] Long Term Investment Optimization Methodology for Multi-Zonal Transmission Expansion
    Ergun, Hakan
    Belmans, Ronnie
    Van Hertem, Dirk
    Rawn, Barry
    2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2016,
  • [9] The impact of the undetected COVID-19 cases on its transmission dynamics
    Sujata Saha
    Sumanta Saha
    Indian Journal of Pure and Applied Mathematics, 2021, 52 : 1229 - 1234
  • [10] The impact of the undetected COVID-19 cases on its transmission dynamics
    Saha, Sujata
    Saha, Sumanta
    INDIAN JOURNAL OF PURE & APPLIED MATHEMATICS, 2021, 52 (04): : 1229 - 1234