Modeling, state estimation, and optimal control for the US COVID-19 outbreak.

ABSTRACT: The novel coronavirus SARS-CoV-2 and resulting COVID-19 disease have had an unprecedented spread and continue to cause an increasing number of fatalities worldwide. While vaccines are still under development, social distancing, extensive testing, and quarantining of confirmed infected subjects remain the most effective measures to contain the pandemic. These measures carry a significant socioeconomic cost. In this work, we introduce a novel optimization-based decision-making framework for managing the COVID-19 outbreak in the US. This includes modeling the dynamics of affected populations, estimating the model parameters and hidden states from data, and an optimal control strategy for sequencing social distancing and testing events such that the number of infections is minimized. The analy

SUBMITTER: Tsay C 

PROVIDER: S-EPMC7329889 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature