COVID-19 Outbreak with Fuzzy Uncertainties: A Mathematical Perspective

Prasenjit Mahato; Sanat Kumar Mahato; Subhashis Das

doi:10.47852/bonviewJCCE2202236

Authors

Prasenjit Mahato Department of Mathematics, Sidho-Kanho-Birsha University, India
Sanat Kumar Mahato Department of Mathematics, Sidho-Kanho-Birsha University, India https://orcid.org/0000-0001-5455-5173
Subhashis Das Department of Mathematics, Sidho-Kanho-Birsha University, India https://orcid.org/0000-0002-4273-7241

DOI:

https://doi.org/10.47852/bonviewJCCE2202236

Keywords:

COVID-19 virus, triangular fuzzy number, utility function method, optimal control

Abstract

In this article, we design a mathematical SEQAIMR (susceptible, exposed, quarantined, asymptomatic, symptomatic, isolated, recovered) epidemic model and investigate the nature of the system. We transform the crisp model into the fuzzy model. All the biological parameters are treated as triangular fuzzy numbers (TFNs). With the help of utility function method, the fuzzy model is defuzzified. We use the MATLAB codes to solve the system of equations and to predict different situations under different values of the control parameters. Lastly, optimal control for COVID-19 disease is explained.

Received: 30 April 2022 | Revised: 4 July 2022 | Accepted: 13 July 2022

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.