DYNAMIC MODEL OF THE SPREAD OF THE SARS-COV-2 VIRUS IN THE HUMAN BODY

• Main Author: Amri, Syaipul
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/57571
• Institution: Institut Teknologi Bandung

COVID-19 is an infectious disease caused by infection with the Coronavirus 2 (SARS-CoV-2) in the respiratory tract. Therefore, this disease has spread widely and has become a global pandemic. In this study, we will discuss how to model the dynamics of the spread of the SARS-CoV-virus 2 in the body by examining the interactions between viruses, cells, and immune responses. The model corresponds to data on SARS-CoV-2 infection in COVID-19 patients in Germany. According to the data and numerical simulations, it is shown that the dynamics of the infection virus SARS-CoV-2 has several different stages. In the early stages, the virus population increases rapidly to a peak. In the final stage, the viral population decreases due to the emergence of an adaptive immune response. The simulation results show that the adaptive immune response affects the virus population after infection. Then, by accelerating the active adaptive immune response, it can inhibit the growth of the virus population by showing a faster period of viremia. These results provide insight into the dynamics of virus spread and may help develop treatment strategies against COVID-19.