<p>The secondary infections that arise from the primary pandemic can have devastating consequences, especially in the case of certain infectious diseases that have become pandemic in nature. One such secondary infection is mucormycosis, which affects COVID-19 patients with impaired immunity and elevated glucose levels due to the use of excess steroids. In order to better understand the transmission dynamics of mucormycosis and its connection to COVID-19, a mathematical model has been developed. This model allows for the analysis of local and global asymptotic stability under different conditions of the reproduction number, which is a measure of how many new infections can arise from a single infected individual. By conducting a critical analysis, it is possible to determine the effectiveness of control measures in minimizing the spread of the disease. The results of a sensitivity analysis indicate that the susceptible population plays a crucial role in determining the threshold number for the disease. Interestingly, even in the face of severe attacks, the equilibrium point of the population remains stable, preventing the extinction of the entire population. This equilibrium point represents a long-term condition where the entire population is free from mucormycosis, known as the mucormycosis-free equilibrium. Furthermore, numerical simulations have shown that quarantining mucormycosis patients in specialized hospitals leads to a high recovery rate and a minimal death rate. These findings highlight the importance of implementing effective control measures and providing specialized care to combat the spread of mucormycosis.</p>