The Spatiotemporal Prediction Model of Opioids Spread Trend Based on Grey Correlation

Abstract

With the rapid increasing of opioids abuse, it is critical to determine the influence factors and to predict the opioids spread trend. In this paper, a prediction method combining spatiotemporal characteristics and grey relational analysis model is proposed, and the spatiotemporal prediction model of opioids spread trend based on the grey correlation of multifactor is established by integrating various panel data. The time series model is used to identify and fit the multifactor panel data. The gray relational prediction model is established combining the spatial influence factors by Principal Component Analysis (PCA). Results of the simulated experiment show that the method is accurate and the model is feasible and reasonable.