<p>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 equilibrium (CPE). The computed reproduction number ( R_C1) was used to validate the local stability of the CPE whenever R_C1 is above one while the CFE is globally asymptotically stable</p> <p>R_C11. Next, we show that the condition R_C11&nbsp; is sufficient to halt the spread of COVID-19 by showing that the model possesses forward bifurcation. The sensitivity analysis suggests that the fear of infection does not influence the R_C1&nbsp; while numerical simulation indicates that the population of all infected humans, COVID-19 deceased individuals and the concentration of the COVID-19 viruses in the environment increases as the fear of infection (₁) reduces</p>