Various reports show how the level of human concern can affect the speed of the spread of disease. The high level of awareness of the dangers of disease, including vaccination, can make humans try to protect themselves from the possibility of infection. In this undergraduate thesis, the Susceptible-Vaccinated-Infected-Recovered (SVIR) model is used to understand how to control the disease with vaccination interventions and consider the level of awareness as an independent variable. The population of susceptible in the model is divided into groups of susceptible individuals aware of infections and susceptible individuals unaware of infections. It is assumed that only susceptible individuals aware of infections could get vaccinated. Vaccination is assumed couldn't be able to protect the individual completely from diseases. Analytical studies of disease-free equilibrium points, endemic equilibrium points, and basic reproduction number (R_0) are carried out in this undergraduate thesis to understand the long-term dynamics of the established model. It was found that disease-free equilibrium when the level of awareness of the diseases is constant would be stable if R_0 < 1, and otherwise. Some numerical simulations are given to support the results of analytic studies and provide interpretation. From all the analytical results that have been discussed, it could be said that vaccination is one of the effective ways of minimizing the spread of the disease. However, with the level of disease awareness, the intensity of vaccinations needed will not be as massive as when there is no people awareness.
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