JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, cilt.2022, sa.114624, ss.1-25, 2022 (SCI-Expanded)
Within two years, the world has experienced a pandemic phenomenon that changed almost
everything in the macro and micro-environment; the economy, the community's social life, education, and
many other fields. Governments started to collaborate with health institutions and the WHO to control the
pandemic spread, followed by many regulations such as wearing masks, maintaining social distance, and
home office work. While the virus has a high transmission rate and shows many mutated forms, another
discussion appeared in the community: the fear of getting infected and the side effects of the produced
vaccines. The community started to face uncertain information spread through some networks keeping the
discussions of side effects on-trend. However, this pollution spread confused the community more and
activated multi fears related to the virus and the vaccines.
This paper establishes a mathematical model of COVID-19, including the community's fear of
getting infected and the possible side effects of the vaccines. These fears appeared from uncertain
information spread through some social sources. Our primary target is to show the psychological effect on
the community during the pandemic stage. The theoretical study contains the existence and uniqueness of
the IVP and, after that, the local stability analysis of both equilibrium points, the disease-free and the
positive equilibrium point. Finally, we show the global asymptotic stability holds under specific conditions
using a suitable Lyapunov function. In the end, we conclude our theoretical findings with some
simulations