  We build a deep-learning-based SEIR-AIM model integrating the classical
Susceptible-Exposed-Infectious-Removed epidemiology model with forecast modules
of infection, community mobility, and unemployment. Through linking Google's
multi-dimensional mobility index to economic activities, public health status,
and mitigation policies, our AI-assisted model captures the populace's
endogenous response to economic incentives and health risks. In addition to
being an effective predictive tool, our analyses reveal that the long-term
effective reproduction number of COVID-19 equilibrates around one before mass
vaccination using data from the United States. We identify a "policy frontier"
and identify reopening schools and workplaces to be the most effective. We also
quantify protestors' employment-value-equivalence of the Black Lives Matter
movement and find that its public health impact to be negligible.
