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Modeling coupling dynamics between the transmission, intervention of COVID-19 and economic development.
Zhang, Zhaowang; Kong, Lingming; Lin, Hualiang; Zhu, Guanghu.
  • Zhang Z; School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China.
  • Kong L; School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China.
  • Lin H; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Zhu G; School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China.
Results Phys ; 28: 104632, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1347813
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Results Phys Year: 2021 Document Type: Article Affiliation country: J.rinp.2021.104632

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Results Phys Year: 2021 Document Type: Article Affiliation country: J.rinp.2021.104632