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An epidemic-economic model for COVID-19.
Bai, Jie; Wang, Xiunan; Wang, Jin.
  • Bai J; School of Mathematics and Statistics, Liaoning University, Shenyang 110036, China.
  • Wang X; Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
  • Wang J; Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Math Biosci Eng ; 19(9): 9658-9696, 2022 07 04.
Article in English | MEDLINE | ID: covidwho-1954192
ABSTRACT
In this paper, we propose a new mathematical model to study the epidemic and economic consequences of COVID-19, with a focus on the interaction between the disease transmission, the pandemic management, and the economic growth. We consider both the symptomatic and asymptomatic infections and incorporate the effectiveness of disease control into the respective transmission rates. Meanwhile, the progression of the pandemic and the evolution of the susceptible, infectious and recovered population groups directly impact the mitigation and economic development levels. We fit this model to the reported COVID-19 cases and unemployment rates in the US state of Tennessee, as a demonstration of a real-world application of the modeling framework.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022449

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Math Biosci Eng Year: 2022 Document Type: Article Affiliation country: Mbe.2022449