Modeling COVID‐19: Forecasting and analyzing the dynamics of the outbreaks in Hubei and Turkey

As the pandemic of Coronavirus Disease 2019 (COVID-19) rages worldwide, accurate modeling dynamics thereof is essential. However, since availability and quality data vary dramatically from region to region, directly a global perspective difficult. Nevertheless, via local collected by certain regions, it possible develop prediction tools, which may be coupled models. In this study, we analyze outbreaks COVID-19 system ordinary differential equations (ODEs). Utilizing large amount available ebbing outbreak in Hubei, China, as testbed, predict trajectory daily cases, deaths, other features Hubei outbreak. Through numerical experiments, observe effects social distancing on Using knowledge gleaned outbreak, apply our model Turkey. We provide forecasts for peak number cases deaths Turkey, varying levels transition rate infected class confirmed class.