Model analysis of the spread of COVID-19 with the influence of media awareness on vaccination

COVID-19 is an upper respiratory tract infection caused by coronavirus or what is commonly called SARS-CoV-2. Several studies have been conducted on this disease, including using mathematical models. In this work, we carry out the COVID-19 spread model with the influence of media awareness on vaccination. First, the model parameters are initially calculated utilizing a genetic algorithm informed by monthly COVID-19 case data from Indonesia in 2022. Two equilibrium points: the disease-free and the endemic equilibrium—as well as the basic reproduction number (R0), which establishes the presence and stability of the equilibrium point, were derived from the model analysis results. R0 > 1 signifies that COVID-19 is proliferating among the population, whilst R0 < 1 shows that COVID-19 is not proliferating. The findings of the parameter estimation suggest that the R0 value is 6.1317, indicating that COVID-19 is continuing spreading endemic. To determine which factors had the biggest impact on the model, a sensitivity analysis is next carried out. The dynamics of COVID-19’s population growth and the influence of media awareness on vaccination are then analyzed through numerical simulation. The outcomes of the simulation demonstrate that media awareness about vaccination has had a major impact on efforts to stop the spread of COVID-19.