Point Process Modeling of Drug Overdoses with Heterogeneous and Missing Data

no code implementations • 12 Oct 2020 • Xueying Liu, Jeremy Carter, Brad Ray, George Mohler

We apply the algorithm to drug overdose data from Indianapolis, showing that the point process defined on the integrated data outperforms point processes that use only homogeneous EMS (AUC improvement . 72 to . 8) or coroner data (AUC improvement . 81 to . 85). We also investigate the extent to which overdoses are contagious, as a function of the type of overdose, while controlling for exogenous fluctuations in the background rate that might also contribute to clustering.

Clustering Point Processes