时 间: 2022-04-28 16:00 — 18:00
We developed several ordinary differential equations models of COVID-19 epidemics that use early reported case data to predict the future number of cases. From the cumulative number of reported cases data, we want to use simple models with a limited number of parameters which include part of the initial conditions to reconstruct and forecast the epidemic. Furthermore, we will present some results on epidemics models with age of infection and nonlocal and nonlinear boundary condition.