System of Time Fractional Models for COVID-19: Modeling, Analysis and Solutions

The emergence of the COVID-19 outbreak has caused a pandemic situation in over 210 countries. Controlling spread this disease proven difficult despite several resources employed. Millions hospitalizations and deaths have been observed, with thousands cases occurring daily many measures place. Due to complex nature COVID-19, we proposed system time-fractional equations better understand transmission disease. Non-locality model made fractional differential appropriate for modeling. Solving these types models is computationally demanding. Our generalized compartmental incorporates effective contact rate, transition quarantine disease-induced death natural recovery rate infected holistic study coronavirus A detailed analysis carried out, including existence uniqueness solutions, local global stability disease-free equilibrium (symmetry), sensitivity analysis. Furthermore, numerical solutions are obtained Adam–Bashforth–Moulton method developed fractional-order model. profile show that each incorporated parameters very important controlling COVID-19. Based on results different fractional-order, observe there seems be third or even fourth wave spike which currently