Mathematical modeling of the COVID-19 epidemic with fear impact

Ashraf Adnan Thirthar; Hamadjam Abboubakar; Aziz Khan; Thabet Abdeljawad; Ashraf Adnan Thirthar; Hamadjam Abboubakar; Aziz Khan; Thabet Abdeljawad

doi:10.3934/math.2023326

AIMS Mathematics

2023, Volume 8, Issue 3: 6447-6465. doi: 10.3934/math.2023326

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Mathematical modeling of the COVID-19 epidemic with fear impact

1.
Department of Studies and Planning, University of Fallujah, Anbar, Iraq
2.
Department of Computer Engineering, University Institute of Technology of Ngaoundéré, The University of Ngaoundéré, P.O. Box 455, Ngaoundéré, Cameroon
3.
Department of Mathematics and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia

Received: 04 October 2022 Revised: 17 November 2022 Accepted: 24 November 2022 Published: 04 January 2023
MSC : 37B25, 37N25, 92B05

Many studies have shown that faced with an epidemic, the effect of fear on human behavior can reduce the number of new cases. In this work, we consider an SIS-B compartmental model with fear and treatment effects considering that the disease is transmitted from an infected person to a susceptible person. After model formulation and proving some basic results as positiveness and boundedness, we compute the basic reproduction number $ \mathcal R_0 $ and compute the equilibrium points of the model. We prove the local stability of the disease-free equilibrium when $ \mathcal R_0 < 1 $. We study then the condition of occurrence of the backward bifurcation phenomenon when $ \mathcal R_0\leq1 $. After that, we prove that, if the saturation parameter which measures the effect of the delay in treatment for the infected individuals is equal to zero, then the backward bifurcation disappears and the disease-free equilibrium is globally asymptotically stable. We then prove, using the geometric approach, that the unique endemic equilibrium is globally asymptotically stable whenever the $ \mathcal R_0 > 1 $. We finally perform several numerical simulations to validate our analytical results.
- COVID-19,
- mathematical model,
- fear effect,
- asymptotic stability
Citation: Ashraf Adnan Thirthar, Hamadjam Abboubakar, Aziz Khan, Thabet Abdeljawad. Mathematical modeling of the COVID-19 epidemic with fear impact[J]. AIMS Mathematics, 2023, 8(3): 6447-6465. doi: 10.3934/math.2023326

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Abstract

Many studies have shown that faced with an epidemic, the effect of fear on human behavior can reduce the number of new cases. In this work, we consider an SIS-B compartmental model with fear and treatment effects considering that the disease is transmitted from an infected person to a susceptible person. After model formulation and proving some basic results as positiveness and boundedness, we compute the basic reproduction number $ \mathcal R_0 $ and compute the equilibrium points of the model. We prove the local stability of the disease-free equilibrium when $ \mathcal R_0 < 1 $. We study then the condition of occurrence of the backward bifurcation phenomenon when $ \mathcal R_0\leq1 $. After that, we prove that, if the saturation parameter which measures the effect of the delay in treatment for the infected individuals is equal to zero, then the backward bifurcation disappears and the disease-free equilibrium is globally asymptotically stable. We then prove, using the geometric approach, that the unique endemic equilibrium is globally asymptotically stable whenever the $ \mathcal R_0 > 1 $. We finally perform several numerical simulations to validate our analytical results.

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