Dynamical Study of a COVID-19 Epidemic Model with Fear of Infection
Abstract
The fear associated with an infectious disease plays a major role in the management of the infectious disease. Thus, this study tried to assess the impact of fear of infection on the spread of COVID-19 using a mathematical modelling approach. The model considered was shown to have two equilibria points, namely, the COVID-19 free equilibrium (CFE) and the COVID-19 persistent ) was used to validate the local equilibrium (CPE). The computed reproduction number (
Keywords
COVID-19; Mathematical ModelFear of Infection; Lyapunov Function; Bifurcation
Analysis
References
Akinyemi, S.T., Ibrahim, M.O. and Edogbanya, H.O. ( November, 2016). Stability and Bifurcation Analysis of Ebola Deterministic Model. National Mathematical Centre (NMC): Journal of Mathematical Sciences, 2(1):803-820. Akinyemi, S. T., Ibrahim, M. O., Usman, I. G., & Odetunde, O. (2016). Global stability analysis of sir epidemic model with relapse and immunity loss. International Journal of Applied Science and Mathematical Theory,2(1),1-14.
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