Abstract:

In the process of this paper, we started with the data from 2010 to 2017 provided by NFLIS concerned with opioid crisis in the US. After sorting and analyzing the panel data, we decided to transform the derived data and then model the panel data, cross-section data and time series data respectively. Next, we consider how to objectively select a large number of socio-economic data and indicators, and then establish a model that can reflect two different databases at the same time, so that the model can be combined with some indicators. Finally, we propose a feasible strategy to resist the opioid crisis.