Abstract
Many mathematical models were proposed during the COVID-19 pandemic. However, many of them shared a common challenge: estimating a portion of the model's input parameters. This research project aims to enhance the accuracy of existing epidemiological models by applying metaheuristic and numerical methods for input parameter estimation. Recognizing the limitations of the mathematical model…