Modeling coupling dynamics between the transmission, intervention of COVID-19 and economic development

被引:1
|
作者
Zhang, Zhaowang [1 ]
Kong, Lingming [1 ]
Lin, Hualiang [2 ]
Zhu, Guanghu [1 ]
机构
[1] Guilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China
[2] Sun Yat Sen Univ, Sch Publ Hlth, Dept Epidemiol, Guangzhou 510080, Peoples R China
基金
中国国家自然科学基金;
关键词
COVID-19; Economy effect; Quarantine; Basic reproduction number; Optimal control; POVERTY;
D O I
10.1016/j.rinp.2021.104632
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Current explosive outbreak of the novel coronavirus (COVID-19) pandemic is posing serious threats to public health and economics around the world. To clarify the coupling mechanism between this disease and economic development, a new dynamical system is established by ordinary differential equations (ODEs). It is theoretically proved that the basic reproduction number is a nonlinear combination of parameters regarding disease transmission, intervention and economy effect, which totally determines the stability of the disease-free and endemic equilibria. Further analyses indicate the existence of interaction and mutual restraint among transmissibility, quarantine and economics, in which (1) COVID-19 would cause a long-term impact on halting economic progress; (2) strong coupling of COVID-19 and economics would easily trigger disease outbreak, cause more human infections and alleviate the intervention effects of quarantine; and (3) there exists optimal strategy of time-varying quarantine for disease control and economic development. It is highlighted that adaptive isolation (rather than constant isolation) of at-risk population (rather than random individuals) is highly effective in reducing morbidity at the cost of least economic loss.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Mathematical modeling of COVID-19 transmission dynamics between healthcare workers and community
    Masandawa, Lemjini
    Mirau, Silas Steven
    Mbalawata, Isambi Sailon
    RESULTS IN PHYSICS, 2021, 29
  • [2] Modeling the Transmission Dynamics of the COVID-19 Outbreak in Thailand
    Thawinan, Ekkachai
    Sriyab, Somchai
    THAI JOURNAL OF MATHEMATICS, 2020, 18 (04): : 1907 - 1915
  • [3] Modeling COVID-19 Transmission Dynamics: A Bibliometric Review
    Goswami, Gour Gobinda
    Labib, Tahmid
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (21)
  • [4] Mathematical modeling of COVID-19 transmission: the roles of intervention strategies and lockdown
    Bugalia, Sarita
    Bajiya, Vijay Pal
    Tripathi, Jai Prakash
    Li, Ming-Tao
    Sun, Gui-Quan
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2020, 17 (05) : 5961 - 5986
  • [5] Mathematical modeling of COVID-19 transmission: The roles of intervention strategies and lockdown
    Bugalia S.
    Bajiya V.P.
    Tripathi J.P.
    Li M.-T.
    Sun G.-Q.
    Mathematical Biosciences and Engineering, 2020, 17 (05): : 5961 - 5986
  • [6] Modeling the Impact of Misinformation on the Transmission Dynamics of COVID-19
    Su, Ziyi
    Agyingi, Ephraim
    APPLIEDMATH, 2024, 4 (02): : 544 - 560
  • [7] Modeling nosocomial infection of COVID-19 transmission dynamics
    Masandawa, Lemjini
    Mirau, Silas Steven
    Mbalawata, Isambi Sailon
    Paul, James Nicodemus
    Kreppel, Katharina
    Msamba, Oscar M.
    RESULTS IN PHYSICS, 2022, 37
  • [8] CONTROLLING THE TRANSMISSION DYNAMICS OF COVID-19
    Moore, Stephen Edward
    Okyere, Eric
    COMMUNICATIONS IN MATHEMATICAL BIOLOGY AND NEUROSCIENCE, 2022,
  • [9] Dynamics Modeling and Analysis of COVID-19
    Yu Z.
    Huang S.
    Yang B.
    Gao H.
    Lu S.
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2022, 56 (05): : 43 - 53
  • [10] Modeling and optimal control analysis of transmission dynamics of COVID-19: The case of Ethiopia
    Deressa, Chernet Tuge
    Duressa, Gemechis File
    ALEXANDRIA ENGINEERING JOURNAL, 2021, 60 (01) : 719 - 732