The spreading process identification and influential factors analyze of the American opioid crisis based on big data

Abstract

The spread of opioid crisis has posed many negative impacts on the society of the United State and attracts the attention of the US government and many relevant organizations to mitigate the increasing of drug abuse. This passage mainly describe the spreading trend of opioid crisis between five states/counties and analyze the important social and economic data of America to identify some important influential factors. In this way, an optimized spreading model based on cellular automata with the combination of life-cycle graph of the four stages in spreading process can be achieved and the exact starting point of each state can be known. With the factor analyze of socio-economic information extracted from the U.S. Census Bureau,the characteristics and idiosyncrasy of people who commonly get drug abusing problems can be identified And with more factors taken into consideration the spreading model can be optimized with multi-layer factors so that more strategies can be made to help restricting the drug abuse.