An epidemic-economic model for COVID-19.

Jie Bai, Xiunan Wang, Jin Wang
Author Information
  1. Jie Bai: School of Mathematics and Statistics, Liaoning University, Shenyang 110036, China.
  2. Xiunan Wang: Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
  3. Jin Wang: Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.

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.

Keywords

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Grants

  1. R15 GM131315/NIGMS NIH HHS

MeSH Term

Asymptomatic Infections
COVID-19
Humans
Models, Economic
Pandemics
SARS-CoV-2

Word Cloud

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