Author(s)

Wu Fei

Corresponding Author

Wu Fei

Abstract

We build a Drug Spread Model to describe the spread path of top-ten popular drugs. Firstly, we operate on the data to select the top-ten drugs with the total cases over 5000 between 2010 and 2017. We also collect data about each drugs’ use cases in each county. Next we find each county’s adjacent regions to construct the adjacency matrix. After that we make the drugs’ spread principles which help to determine the each drug’s birthplace and which counties are more easily to be affected. Finally we use the Depth-first algorithm to find the spread path and obtain possible locations where the ten drugs use might have started in the five states.

Keywords

Drug Spread Model, Depth-first algorithm, Gray prediction algorithm