The solution of Opioid Flood Problem Based on Big Data Model

Aiming at the problem of the drug epidemic in America, we put forward a model of drug epidemic spread. This paper determines the various reasons leading to the current situation, to formulate corresponding effective solutions. This model drew lessons from the spread of the infectious disease model and considering the drug flooding degree affected by time and distance in five states, the drug flood model of the five states is obtained through mathematical analysis. We first make time prediction and then select an appropriate mathematical model for data fitting to determine the parameters. To determine which state and where started the drug epidemic in the first place, we used Python to make a rendering of the drug epidemic degree in each county, so that the drug abuse situation in all counties of the five states could be reflected. When determining the threshold level of drugs, we conducted cluster analysis on drug categories, classified drugs, analyzed charts, determined the drugs with the most significant weight, established the confidence interval and then determined the drug threshold. The model established is used to analyze the influencing factors in combination with the existing policies of the United States to curb the drug epidemic. Some reasonable Suggestions are put forward to curb the drug epidemic.