Pandemic model with data-driven phase detection, a study using COVID-19 data

no code implementations • 24 Oct 2021 • Yuansan Liu, Saransh Srivastava, Zuo Huang, Felisa J. Vázquez-Abad

The main contributions of our model are: (a) providing interpretation of the parameters, (b) determining which parameters of the model are more important to produce changes in the spread of the disease, and (c) using data-driven discovery of sudden changes in the evolution of the pandemic.

Change Detection Decision Making